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在cross section data這個產品中，有5篇Facebook貼文，粉絲數超過196的網紅Thekittychang，也在其Facebook貼文中提到， 互聯網大學 | 企業數位轉型需要的人才及能力 1/24 (日)下午 互聯網大學邀請了 — IBM 全球企業諮詢服務事業群總經理總經理 吳建宏先生 與我們分享「企業數位轉型需要的人才及能力」的議題 IBM 的策略顧問致力於，運用AI、混合雲、諮詢服務來解決企業的問題、協助企業轉型） / ㄧ、你...
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cross section data 在 Thekittychang Facebook 的最佳解答

Thekittychang By Thekittychang

2021-01-30 21:31:06 有 1 人按讚
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互聯網大學 | 企業數位轉型需要的人才及能力

1/24 (日)下午 互聯網大學邀請了 — IBM 全球企業諮詢服務事業群總經理總經理 吳建宏先生 與我們分享「企業數位轉型需要的人才及能力」的議題

IBM 的策略顧問致力於，運用AI、混合雲、諮詢服務來解決企業的問題、協助企業轉型）

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ㄧ、你如何定義「數位轉型」？

我所定義的「數位轉型」主要分成工作方式的轉型、工作流的轉變。

1. 工作方式的轉型｜遠端工作、協作工具的興起

隨著疫情加劇，讓人們開始「遠距學習」、「遠端協作」的旅程，學習如何使用線上協作工具，例如：Slack、Jandi、zoom、google meet等等，甚至是使用線上學習平台學習，例如，Coursera, Udemy, Hupspot, google analysis academy, Lynda,Hohaw等等，都是需具備的能力之一。

此外，在遠端工作、團隊成員多元的情況下，更不能忽視語言溝通的能力
（最基本的就是英文溝通！如果連最基本的溝通都達不到，就算有再強的技能，也很難拿到offer）。

2. 工作流的轉變｜從瀑布流轉變為敏捷式專案執行

先前看過一本書 < Google創投認證！SPRINT衝刺計畫：Google最實用工作法，5天5步驟迅速解決難題、測試新點子、完成更多工作！> ，書裡提到現在越來越多團隊在產品開發上，選擇使用「 sprint 衝刺計畫 」，而非瀑布式工作流。

若使用先前的「瀑布法開發法」就必須透過 — 計畫、設計、發展、測試、維護等從上而下、step-by-step 傳統作業流程。

但是，若團隊使用「敏捷式開發法」，就可以透過五天的衝刺計畫，發展出一項專案產品。

p.s.不過因為隊員必須在計畫執行中聚在一起、空出五個整天（排除其他工作），所以我認為不太適用於遠端工作中！

以下是「敏捷式開發法」的周行程範例！

星期一｜說明衝刺計畫的流程、設定在計畫內要解決的問題、畫出產品及顧客的關係圖、請教專家、選定目標
星期二｜隊員示演理想的解決方案、畫出方案草圖
星期三｜選出或溝通出最佳解決方案、試畫製分鏡腳本
星期四｜隊員分工（包含製作者、整合者、促進者、資料收集者、採訪者等）、製作原型、試運轉
星期五｜與五個潛在顧客進行訪談

（p.s.如果對「敏捷工作術」感興趣的話，< Google創投認證！SPRINT衝刺計畫：Google最實用工作法，5天5步驟迅速解決難題、測試新點子、完成更多工作！> 書裡頭有更詳細的案例解說！）

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二、IBM 所定義的數位轉型（圖二+圖三）

The Cognitive Enterprise
1. 文化
（1）Culture
* 是否能接受「Agile」？如何更敏捷的決策？
（2）Skills
* HR數位化
* 以技能評估 candidate 是否合適這個職缺？
（3）Ways of working
* 思考方式｜設計思考力
* 工作環境｜共同工作空間
*
2. 平台
（1）Enterprise strategy platforms
* 協助客戶形成生態圈
* 將 Business Model 加入 API 的元素
（2）Industry platforms
（3）Cross industry platforms
（4）Enterprise enabling platforms

3. 流程
（1）Front-office processes
（2）Back-office processes
* 流程數位化
* 協助中小企業貸款，量數最多的案件是中國信託，因為他讓流程線上自動化（RPA），鼓勵客戶線上申請、機器人自動審核
（3）Decision process

4. 科技
（1）AI
（2）Blockchian
（3）Automation
（4）Internet of things
（5）5G
（6）API

5. 數據
（1） Proprietary data
（2） Licensed data
（3） Public data
（4） Custom
（5） Legacy

6. 應用系統
（1） Cloud native
（2） Digital

7.基礎架構
（1） Public
（2） Private

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三、在數位轉型下，我們需具備的能力？（圖四）

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四、Q&A section
1.去年IBM在「雲端金融論壇」提到未來的金融趨勢有 — 開放銀行、金融上雲、純網銀，那麼透過 IBM garage 實行敏捷創新、敏捷AI 、敏捷上雲時，有沒有遇到什麼困難？如何因應？
A : IBM 會以「成本效益分析」、「法律問題」、「雲端的預算」的角度出發做思考。

2. IBM 會希望員工跨部門輪轉嗎？
A : 未來希望人才往「ㄆㄞ型」前進，所以部門員工輪轉的方式會是「部門的輪調」或「不同專案間的輪調」。

3. 如果幫助客戶的服務成效不彰時，會有什麼應對措施？
A : 雖然可能出現不被客戶信任的情況，但可藉此學習、避免下次出現類似的情況。
#ibm #learn #digital #xchange #taipei

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Thekittychang

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嗨囉～大家好，我是kitty，在這邊我將會跟你分享生活之外，也會跟你分享一些實用資訊喔！
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cross section data 在 元毓 Facebook 的精選貼文

元毓 By 元毓

2019-06-23 13:39:12 有 161 人按讚
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根據計算，100萬人遊行隊伍要從維多利亞公園排到廣東；200萬人遊行則要排到泰國。

順道一提香港15～30歲人口約莫100出頭萬人。以照片人群幾乎都是此年齡帶來看，兩個數字都是明顯誇大太多了。

另一個可以參考的是1969年的Woodstock Music & Art Fair，幾天內湧進40萬人次，照片看起來也是滿山滿谷的人。（http://sites.psu.edu/…/upl…/sites/851/2013/01/Woodstock3.jpg）

當年40萬人次引發驚人的大塞車，幾乎花十幾個小時才逐漸清場。

而香港遊行清場速度明顯快得多。

順道一提，因此運動而認定「你的父母不愛你」的白痴論述也如同文化大革命時的「爹親娘親不如毛主席親」般開始出現：

https://www.facebook.com/SaluteToHKPolice/videos/350606498983830/UzpfSTUyNzM2NjA3MzoxMDE1NjMyMTM4NjY3MTA3NA/

EVERY MAJOR NEWS outlet in the world is reporting that two million people, well over a quarter of our population, joined a single protest.
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It’s an astonishing thought that filled an enthusiastic old marcher like me with pride. Unfortunately, it’s almost certainly not true.
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A march of two million people would fill a street that was 58 kilometers long, starting at Victoria Park in Hong Kong and ending in Tanglangshan Country Park in Guangdong, according to one standard crowd estimation technique.
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If the two million of us stood in a queue, we’d stretch 914 kilometers (568 miles), from Victoria Park to Thailand. Even if all of us marched in a regiment 25 people abreast, our troop would stretch towards the Chinese border.
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Yes, there was a very large number of us there. But getting key facts wrong helps nobody. Indeed, it could hurt the protesters more than anyone.
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For math geeks only, here’s a discussion of the actual numbers that I hope will interest you whatever your political views.
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DO NUMBERS MATTER?
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People have repeatedly asked me to find out “the real number” of people at the recent mass rallies in Hong Kong.
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I declined for an obvious reason: There was a huge number of us. What does it matter whether it was hundreds of thousands or a million? That’s not important.
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But my critics pointed out that the word “million” is right at the top of almost every report about the marches. Clearly it IS important.
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FIRST, THE SCIENCE
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In the west, drone photography is analyzed to estimate crowd sizes.
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This reporter apologizes for not having found a comprehensive database of drone images of the Hong Kong protests.
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But we can still use related methods, such as density checks, crowd-flow data and impact assessments. Universities which have gathered Hong Kong protest march data using scientific methods include Hong Kong Polytechnic University, Hong Kong University of Science and Technology, University of Hong Kong, and Hong Kong Baptist University.
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DENSITY CHECKS
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Figures gathered in the past by Hong Kong Polytechnic specialists using satellite photo analysis found a density level of one square meter per marcher. Modern analysis suggests this remains roughly accurate.
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I know from experience that Hong Kong marches feature long periods of normal spacing (one square meter or one and half per person, walking) and shorter periods of tight spacing (half a square meter or less per person, mostly standing).
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JOINERS AND SPEED
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We need to include people who join halfway. In the past, a Hong Kong University analysis using visual counting methods cross-referenced with one-on-one interviews indicated that estimates should be boosted by 12% to accurately reflect late joiners. These days, we’re much more generous in estimating joiners.
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As for speed, a Hong Kong Baptist University survey once found a passing rate of 4,000 marchers every ten minutes.
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Videos of the recent rallies indicates that joiner numbers and stop-start progress were highly erratic and difficult to calculate with any degree of certainty.
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DISTANCE MULTIPLIED BY DENSITY
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But scientists have other tools. We know the walking distance between Victoria Park and Tamar Park is 2.9 kilometers. Although there was overspill, the bulk of the marchers went along Hennessy Road in Wan Chai, which is about 25 meters (or 82 feet) wide, and similar connected roads, some wider, some narrower.
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Steve Doig, a specialist in crowd analysis approached by the Columbia Journalism Review (CJR), analyzed an image of Hong Kong marchers to find a density level of 7,000 people in a 210-meter space. Although he emphasizes that crowd estimates are never an exact science, that figure means one million Hong Kong marchers would need a street 18.6 miles long – which is 29 kilometers.
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Extrapolating these figures for the June 16 claim of two million marchers, you’d need a street 58 kilometers long.
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Could this problem be explained away by the turnover rate of Hong Kong marchers, which likely allowed the main (three kilometer) route to be filled more than once?
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The answer is yes, to some extent. But the crowd would have to be moving very fast to refill the space a great many times over in a single afternoon and evening. It wasn’t. While I can walk the distance from Victoria Park to Tamar in 41 minutes on a quiet holiday afternoon, doing the same thing during a march takes many hours.
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More believable: There was a huge number of us, but not a million, and certainly not two million.
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IMPACT MEASUREMENTS
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A second, parallel way of analyzing the size of the crowd is to seek evidence of the effects of the marchers’ absence from their normal roles in society.
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If we extract two million people out of a population of 7.4 million, many basic services would be severely affected while many others would grind to a complete halt.
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Manpower-intensive sectors of society, such as transport, would be badly affected by mass absenteeism. Industries which do their main business on the weekends, such as retail, restaurants, hotels, tourism, coffee shops and so on would be hard hit. Round-the-clock operations such as hospitals and emergency services would be severely troubled, as would under-the-radar jobs such as infrastructure and utility maintenance.
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There seems to be no evidence that any of that happened in Hong Kong.
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HOW DID WE GET INTO THIS MESS?
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To understand that, a bit of historical context is necessary.
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In 2003, a very large number of us walked from Victoria Park to Central. The next day, newspapers gave several estimates of crowd size.
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The differences were small. Academics said it was 350,000 plus. The police counted 466,000. The organizers, a group called the Civil Rights Front, rounded it up to 500,000.
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No controversy there. But there was trouble ahead.
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THINGS FALL APART
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At a repeat march the following year, it was obvious to all of us that our numbers were far lower that the previous year. The people counting agreed: the academics said 194,000 and the police said 200,000.
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But the Civil Rights Front insisted that there were MORE than the previous year’s march: 530,000 people.
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The organizers lost credibility even with us, their own supporters. To this day, we all quote the 2003 figure as the high point of that period, ignoring their 2004 invention.
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THE TRUTH COUNTS
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The organizers had embarrassed the marchers. The following year several organizations decided to serve us better, with detailed, scientific counts.
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After the 2005 march, the academics said the headcount was between 60,000 and 80,000 and the police said 63,000. Separate accounts by other independent groups agreed that it was below 100,000.
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But the organizers? The Civil Rights Front came out with the awkward claim that it was a quarter of a million. Ouch. (This data is easily confirmed from multiple sources in newspaper archives.)
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AN UNEXPECTED TWIST
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But then came a twist. Some in the Western media chose to present ONLY the organizer’s “outlier” claim.
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“Dressed in black and chanting ‘one man, one vote’, a quarter of a million people marched through Hong Kong yesterday,” said the Times of London in 2005.
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“A quarter of a million protesters marched through Hong Kong yesterday to demand full democracy from their rulers in Beijing,” reported the UK Independent.
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It became obvious that international media outlets were committed to emphasizing whichever claim made the Hong Kong government (and by extension, China) look as bad as possible. Accuracy was nowhere in the equation.
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STRATEGICALLY CHOSEN
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At universities in Hong Kong, there were passionate discussions about the apparent decision to pump up the numbers as a strategy, with the international media in mind. Activists saw two likely positive outcomes.
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First, anyone who actually wanted the truth would choose a middle point as the “real” number: thus it was worth making the organizers’ number as high as possible. (The police could be presented as corrupt puppets of Beijing.)
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Second, international reporters always favored the largest number, since it implicitly criticized China. Once the inflated figure was established in the Western media, it would become the generally accepted figure in all publications.
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Both of the activists’ predictions turned out to be bang on target. In the following years, headcounts by social scientists and police were close or even impressively confirmed the other—but were ignored by the agenda-driven international media, who usually printed only the organizers’ claims.
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SKIP THIS SECTION
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Skip this section unless you want additional examples to reinforce the point.
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In 2011, researchers and police said that between 63,000 and 95,000 of us marched. Our delightfully imaginative organizers multiplied by four to claim there were 400,000 of us.
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In 2012, researchers and police produced headcounts similar to the previous year: between 66,000 and 97,000. But the organizers claimed that it was 430,000. (These data can also be easily confirmed in any newspaper archive.)
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SKIP THIS SECTION TOO
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Unless you’re interested in the police angle. Why are police figures seen as lower than others? On reviewing data, two points emerge.
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First, police estimates rise and fall with those of independent researchers, suggesting that they function correctly: they are not invented. Many are slightly lower, but some match closely and others are slightly higher. This suggests that the police simply have a different counting method.
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Second, police sources explain that live estimates of attendance are used for “effective deployment” of staff. The number of police assigned to work on the scene is a direct reflection of the number of marchers counted. Thus officers have strong motivation to avoid deliberately under-estimating numbers.
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RECENT MASS RALLIES
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Now back to the present: this hot, uncomfortable summer.
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Academics put the 2019 June 9 rally at 199,500, and police at 240,000. Some people said the numbers should be raised or even doubled to reflect late joiners or people walking on parallel roads. Taking the most generous view, this gave us total estimates of 400,000 to 480,000.
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But the organizers, God bless them, claimed that 1.03 million marched: this was four times the researchers’ conservative view and more than double the generous view.
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The addition of the “.03m” caused a bit of mirth among social scientists. Even an academic writing in the rabidly pro-activist Hong Kong Free Press struggled to accept it. “Undoubtedly, the anti-amendment group added the extra .03 onto the exact one million figure in order to give their estimate a veneer of accuracy,” wrote Paul Stapleton.
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MIND-BOGGLING ESTIMATE
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But the vast majority of international media and social media printed ONLY the organizers’ eyebrow-raising claim of a million plus—and their version soon fed back into the system and because the “accepted” number. (Some mentioned other estimates in early reports and then dropped them.)
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The same process was repeated for the following Sunday, June 16, when the organizers’ frankly unbelievable claim of “about two million” was taken as gospel in the majority of international media.
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“Two million people in Hong Kong protest China's growing influence,” reported Fox News.
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“A record two million people – over a quarter of the city’s population” joined the protest, said the Guardian this morning.
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“Hong Kong leader apologizes as TWO MILLION take to the streets,” said the Sun newspaper in the UK.
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Friends, colleagues, fellow journalists—what happened to fact-checking? What happened to healthy skepticism? What happened to attempts at balance?
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CONCLUSIONS?
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I offer none. I prefer that you do your own research and draw your own conclusions. This is just a rough overview of the scientific and historical data by a single old-school citizen-journalist working in a university coffee shop.
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I may well have made errors on individual data points, although the overall message, I hope, is clear.
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Hong Kong people like to march.
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We deserve better data.
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We need better journalism. Easily debunked claims like “more than a quarter of the population hit the streets” help nobody.
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International media, your hostile agendas are showing. Raise your game.
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Organizers, stop working against the scientists and start working with them.
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Hong Kong people value truth.
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We’re not stupid. (And we’re not scared of math!)

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元毓說粉絲頁 美國法學碩士，智財權、競爭法與法律經濟分析專業。分享20年投資經驗所得之經濟學體悟。
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cross section data 在 VOP Facebook 的最佳貼文

VOP By VOP

2019-02-01 22:49:31 有 89 人按讚
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新刊出版 NEW RELEASE !

Voices of Photography 攝影之聲
Issue 25 : 監控 : 科技資本主義及其不滿
Surveillance: Technocapitalism and Its Discontents

歡迎來到2019，在本世紀將加速前往第二個十年的同時，全球正進入新型態的治理境界，一個炫麗繽紛的數位異化年代。科技資本主義鼓吹的美好網路資訊社會、數位公民幻景，現已整合為順從技術應用與網路社群企業的領導，使人在不斷製造的便利、歡愉與安全的服務口號中上癮，聽任其監控我們的一舉一動，將我們挾帶進難以辨識的、以演算法、審查與評分機制流動控管的漩渦之中，牢牢確保現實世界按照既有的政商權力體系運作。當資料從原本網路科技的副產品，變成如今科技資本主義發展的主要目的，成為「資料（影像）」而非「使用者」的我們，如何建立反支配的能力？

在本期《攝影之聲》中，陳界仁揭示當前科技-政經複合體的「全域式」操控警訊，在人類的自我意識存在危機與新種姓制度降臨之前，尋求從中突圍的思考路徑；義大利藝術家保羅．奇理歐對網路重商主義造成個人資料的濫用加以反擊，藉由遊走在法律邊際的藝術介入，提出積極干預與對抗的社會實踐；作為網路藝術的先鋒，鄭淑麗將在威尼斯雙年展台灣館展出的「3×3×6」，延伸邊沁的環形監獄概念，以3D影像掃描、臉部辨識技術與行動應用程式裝置，駭入「數據全景敞視監控」（data panopticon）的當代牢籠，呈現跨域解放的科幻異托邦地景。同時，我們也邀請影像研究學者黃建宏與新媒體藝術家陶亞倫進行深度對談，論析監控結構、影像科技與人性欲望的糾葛關係。

此外，本期收錄多篇專文：張世倫以蘇育賢錄像作品中脫逃移工的影像所引發的監管議題、以及台灣攝影史上第一次全島大規模拍攝身分證的影像事件等，疏理攝影本身隱含的治理元素；孫松榮則從1980年代初、台灣首位銀行搶犯李師科被監視器拍下的身影，乃至高重黎與陳界仁的錄像藝術，剖析體制的視線規訓；施懿珊的網路社會生態實驗與身分發明，持續進行新一波數位統治術的思辨與未來預示；顧錚藉由冷戰時期東德秘密警察遺留的影像檔案，一探諜報監視技術的早年發展；張瑋探尋敏感反映監控體系的當代藝術，思索科技應用與控制之間的辯證啟示。

「攝影書製作現場」單元進入「編輯」階段，特別訪問日本著名攝影出版社蒼穹舍的創辦人、資深圖片編輯大田通貴，並記錄了大田的影像編輯工作實況。「影像香港」單元則論辨十九世紀初、香港第一位攝影師的攝影史推論解讀。

2019年的歷史意義，是為了進入2020政治權力佈局而存在的一年。賽博空間作為兵家必爭之地，權力引發的控制欲也將啟動網路科技新一波的社會效應。在這個政治人物集體網紅化、並試圖將公民鄉民化的詭譎時刻，你我將在歡樂的聲效氣氛中，準備迎接從未經歷過的處境。

● 購買 Order | http://bit.ly/vop25

Welcome to 2019, a dazzling era of digital alienation as this century accelerates into its second decade and the world enters a new state of governance. The glorious information society and visions of a digital citizenry advocated by technocapitalism have integrated into leaders of technology application and Internet social enterprises. We find ourselves hooked on the constant slogans of convenience, pleasure and security, allowing our every move to be monitored while being dragged into a whirlpool whose flow is controlled by an unrecognizable mechanism of algorithm, review and scoring, thereby ensuring that the real world operates in accordance with established political and business powers. As data transforms itself from a by-product of network technology to become the main purpose behind the development of technological capitalism, how do we build the ability to resist domination as we turn from ‘users’ to ‘data (images)’?

In this issue of Voices of Photography, Chieh-Jen Chen rings the alarm on the pervasive control of the current political economy of science and technology, seeking a path of thought towards a way out before the descent of an existential crisis and a new caste system. Italian artist Paolo Cirio strikes back at the abuse of personal data resulting from Internet mercantilism through social practices of active interference and confrontation, using art forms that teeter on the edge of law. As a pioneer of Internet art, Shu-Lea Cheang will be representing Taiwan at the 58th Venice Biennale with “3×3×6”, an extension of Jeremy Bentham’s concept of panopticon. Hacking into the “data panopticon” of a contemporary prison using 3D image scanning, facial recognition technology and mobile applications, a cross-domain and liberated sci-fi heterotopia opens up. At the same time, we have also invited imagery researcher Chien-Hung Huang and new media artist Ya-Lun Tao for an in-depth discussion to analyzing the complex relationship between surveillance structures, imaging technologies and human desires.

Readers will also find a number of essays in this issue: Shih-Lun Chang reveals the political element hidden in photography as he takes a look at the regulatory issues that were sparked from the image of an escaped migrant worker in Yu-Hsien Su’s video work, and the first large-scale identity card photoshoot in the photography history of Taiwan; Song-Yong Sing analyzes the institutional discipline of vision through the images of Shih-Ke Lee, the first bank robber in Taiwan in the early 1980s, that were caught on a surveillance camera, and the video artworks by Chung-Li Kao and Chieh-Jen Chen; Yi-Shan Shih continues to contemplate and predict a future that is dominated by the new digital wave through her Internet social ecological experiments and identity inventions; Gu Zheng explores the early development of espionage surveillance technology through image files left behind by the East German secret police during the Cold War; Chang Wei ponders the dialectical relationship between technology application and control as she looks at contemporary art that consciously reflects the system of surveillance.

The “Photobook Making: Case Study” series enters the “Editing” phase. We have a special interview with Michitaka Ota, the founder of the renowned Japanese photography publishing house, Sokyu-Sha, who is also an experienced image editor, and follow him in action at image editing work. Meanwhile, the “Image Hong Kong” section discusses the interpretation of the photographic history of Hong Kong’s first photographer in the early 19th century.

2019's significance as a year is because it exists for the political power mapping of 2020. As cyberspace turns into a crucial battleground for strategists, the desire for control that comes with power will also trigger a new wave of social implications brought about by Internet technology. In these volatile times when politicians are becoming Internet sensations and trying to turn citizens into netizens, we will be preparing to face never-before-encountered situations in an atmosphere of joyful theatrics.

---
Voices of Photography 攝影之聲
www.vopmagazine.com

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《Voices of Photography 攝影之聲》是一份影像文化獨立刊物。自2011年創刊，致力探索攝影的文化、歷史與思潮，並持續推動影像閱讀、書寫和研究。 《攝影之聲》長期關注亞洲的攝影發展歷程，重視亞際連結，集結國內外眾多學者、藝術家與文化工作者共同參與撰述，透過每期不同的主題視野，製作出豐富的專題與單元，並收錄了重要的創作文獻與研究資料，同時亦以「影言社」為名出版相關叢書，是台灣少數專注於攝影與視覺文化論述領域的獨立出版單位，曾多次獲頒台灣出版界最高榮譽「金鼎獎」各類獎項。 Voices of Photography (VOP) is an independent publication dedicated to image culture. Since its inception in 2011, VOP has been exploring the culture, history and philosophy of photography, and continually promoting imagery reading, critique, and research. VOP has always focused on the development of photography in Asia and places special importance on inter-Asian connections. Through collaborative effort with scholars, artists and cultural workers locally and from all over the world, VOP has been gathering important literature and research materials, presenting rich and varied features with a different theme every issue. Now engaging in the publication of written work and criticism through VOP BOOKS, VOP is one of the rare few independent publishers in Taiwan that focuses on photography and visual culture, earning many accolades at the Golden Tripod Awards, the highest honor in Taiwan’s publishing industry. ＿＿＿＿＿＿＿＿＿＿ 訂閱雜誌 SUBSCRIBE www.vopmagazine.com/subscribe/ VOP書店 VOP BOOKSHOP bookshop.vopmagazine.com
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cross section data 在 コバにゃんチャンネル Youtube 的最佳解答

コバにゃんチャンネル By コバにゃんチャンネル

2021-10-01 13:19:08 有 9 人看過 有 1 人喜歡
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コバにゃん☆です?
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cross section data 在 大象中醫 Youtube 的最佳解答

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長照是一個劇變的旋轉舞台 百年難得一見 沒有準備的人 被旋轉舞台甩出去 不是坐下就是躺下 而大象中醫是太極的推手 推動著旋轉舞台 讓 所有爬不起來的人 背後有一股推手力量 支撐再站起來
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長照是一個劇變的旋轉舞台 百年難得一見 沒有準備的人 被旋轉舞台甩出去 不是坐下就是躺下 而大象中醫是太極的推手 推動著旋轉舞台 讓 所有爬不起來的人 背後有一股推手力量 支撐再站起來
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社群媒體上有些相關的討論：

cross section data 在 What is the difference between pooled cross sectional data ... 的推薦與評價

Cross -sectional data differs from time series data also known as longitudinal data, which follows one subject's changes over the course of time. Another variant ... ... <看更多>

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cross section data 在 Cross Section Analysis — MetPy 1.1 的推薦與評價

cross_section can obtain a cross-sectional slice through gridded data. import cartopy.crs as ccrs import cartopy.feature as ... ... <看更多>

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#1. 橫截面數據- 維基百科，自由的百科全書

面板數據不同於混合橫截面數據（pooled cross-sectional data）。面板數據是對同一主體的不同時間點的觀測值。混合橫截面數據是在不同時點從同一個大總體內部分別 ...

#2. 橫截面數據- MBA智库百科

橫截面數據(Cross-sectional data)橫截面數據是指在某一時點收集的不同對象的數據。它對應同一時點上不同空間(對象)所組成的一維數據集合，研究的是某一時點上的某種 ...

#3. Cross-sectional Data - Statistics.com

Cross -sectional data refer to observations of many different individuals (subjects, objects) at a given time, each observation belonging to a different ...

#4. Cross-Sectional Data Analysis - Definition, Uses, and Sources

Cross -sectional data analysis is when you analyze a data set at a fixed point in time. Surveys and government records are some common sources of cross-sectional ...

#5. Definition Cross-sectional data - Statista

Cross -sectional data are the result of a data collection, carried out at a single point in time on a statistical unit. With cross-sectional data, ...

#6. 截面數據_百度百科

截面數據（cross-sectional data sets）是不同主體在同一時間點或同一時間段的數據，也稱靜態數據，是樣本數據中的常見類型之一。

#7. 1.2 Statistical Data types | Practical Econometrics and Data ...

1.2.1 Cross-sectional Data ... Cross-section data is collected in a single time period and is characterized by individual units - people, companies, countries, ...

#8. Two basic types of Economic Data Cross-Section Data ... - UiO

In cross-section data, all data variation goes across units; we have variation across space (spatial variation). Most often time-series data are macro data or ...

#9. TIME-SERIES–CROSS-SECTION DATA: What Have We ...

Time-series–cross-section (TSCS) data are commonly analyzed in political science and related disciplines. TSCS data are characterized by repeated observations ( ...

#10. Cross-Sectional Data - an overview | ScienceDirect Topics

Cross -sectional is just a fancy way of saying that no time sequence is involved; you simply have a cross-section, or snapshot, of how things are at one ...

#11. What is a cross-sectional study? – Definition with examples

Definition: A cross-sectional study is defined as a type of observational research that analyzes data of variables collected at one given point in time ...

#12. What is difference between cross-sectional data and panel ...

Cross -sectional data refers to data collected by observing many subjects (such as individuals, firms or countries/regions) at the same point of time, or without ...

#13. 12.3 Repeated Cross Sections | A Guide on Data Analysis

12.3 Repeated Cross Sections. For each time point (day, month, year, etc.), a set of data is sampled. This set of data can be different among different time ...

#14. Cross–Section Analysis | Encyclopedia.com

From a temporal point of view two kinds of data are used in empirical analysis—cross-section data and time series data. Cross-section data are observations ...

#15. Econometric Analysis of Cross Section and Panel Data

Poisson Regression Models with Cross Section Data. 646. 19.2.1 Assumptions Used for Poisson Regression. 646. 19.2.2 Consistency of the Poisson QMLE.

#16. The Use of Cross-Section Data to Characterize Macro Functions

OLS regression on cross-section data will consistently estimate the first derivatives of the true macro function if and only if a certain property holds, ...

#17. Spatial Econometric Models of Cross-Sectional ...

Spatial Econometric Models of Cross-Sectional Interdependence in Political Science Panel and Time-Series-Cross-Section Data - Volume 15 Issue 2.

#18. Entering Cross Section Data - Hydrologic Engineering Center

To enter cross section data directly in the Geometric Data editor, the user presses the Cross Section button on the Geometric Data window (Figure 5-1).

#19. Matching Methods for Causal Inference with Time-Series ...

Imai, Kosuke, In Song Kim, and Erik Wang. ``Matching Methods for Causal Inference with Time-Series Cross-Sectional Data.'' American Journal of ...

#20. Cross sectional data | Definition & Examples | Time Series Data

Cross sectional data is a part of the cross sectional study. A cross sectional data is data collected by observing various subjects like ...

#21. Models for Time-Series-Cross-Section Data: INTRODUCTION

Models for Time-Series-Cross-Section Data: INTRODUCTION. I. Introductions…[email protected], ... Overview of issues & strategies for Panel & TSCS data.

#22. What is the difference between pooled cross sectional data ...

Cross -sectional data differs from time series data also known as longitudinal data, which follows one subject's changes over the course of time. Another variant ...

#23. Longitudinal vs cross-sectional studies - CLOSER Learning Hub

Longitudinal studies collecting data in this way can track the extent to which someone's cognitive abilities change (develop or decline) over time. Cohort ...

#24. 截面數據（cross-sectional data sets） - 中文百科知識

截面數據（cross-sectional data sets）是不同主體在同一時間點或同一時間段的數據，也稱靜態數據，是樣本數據中的常見類型之一。基本信息中文名：截面數據英文 ...

#25. Estimating individual cross-section coefficients from the ...

Marketing researchers frequently encounter cross-sectional, time-series data when developing sales response models. One approach to analyzing such data is.

#26. Econometric Analysis of Cross Section and ... - The MIT Press

Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, ...

#27. NIST XCOM: Element/Compound/Mixture

Element/Compound/Mixture Selection. In this database, it is possible to obtain photon cross section data for a single element, compound, or mixture (a ...

#28. What is the difference between longitudinal and cross ...

Longitudinal studies and cross-sectional studies are two different types of research design. In a cross-sectional study you collect data from a population ...

#29. Cross-Sectional Studies - Quantitative Study Designs

Using a cross-sectional design, multiple variables can be investigated at the one time. For example, cross-sectional studies can collect data on ...

#30. Cross-section data are collected: a. on different elements for ...

The correct answer is c. on different elements at the same point in time. A cross-sectional data is a converse to a time series data. That means it...

#31. EViews Help: Pooled Time Series, Cross-Section Data

EViews will help you manage your data, perform operations in either the time series or the cross-section dimension, and apply estimation methods ...

#32. Time Series - Cross-sectional Data Examples | CFA Level 1

Cross -sectional data refers to a set of observations made at a single point in time. Samples are constructed by collecting the data of interest across a ...

#33. Section 13 Models for Pooled and Panel Data

Pooled data occur when we have a “time series of cross sections,” but the observations in each cross section do not necessarily refer to the same unit.

#34. Full article: Compression of Cross-Section Data Size for High ...

Compression of cross-section data used for high-resolution core analysis is performed using a dimensionality reduction technique based on ...

#35. International cross-section analysis of the determination of ...

... on the health of the population. One method of obtaining this information is from the regression analysis of international cross-section data on mortality …

#36. Cross-Sectional Analysis Definition - Investopedia

Cross -sectional analysis looks at data collected at a single point in time, rather than over a period of time. The analysis begins with the establishment of ...

#37. Pooling time-series and cross-section data: A review

Pooled cross-section and time-series data have been used in different areas of economic analysis, mainly for the estimation of demand functions and investment ...

#38. Cross Section Data - Basic Mathematics

A cross-section data shows information about different subjects or elements of a sample or population during the same period of time. The information below is ...

#39. Measurement of 238U(n, n'γ) cross section data and their ...

Measurement of 238U(n, n'γ) cross section data and their impact on reaction models. A better knowledge of (n, xn) reaction cross sections is important for ...

#40. Econometric Analysis of Cross Section and Panel Data - 博客來

書名：Econometric Analysis of Cross Section and Panel Data，語言：英文，ISBN：9780262232586，頁數：1064，作者：Wooldridge, Jeffrey M.，出版日期：2010/10/01 ...

#41. Cross Section Data

For User defined go to Basic Section Properties and Stress Evaluation Properties to continue defining the cross section. For Common sections select a ...

#42. 截面數據(cross-section data)是不同主體在同一時 - 華人百科

截面數據(cross-section data)是不同主體在同一時間點或同一時間段的數據，也稱靜態數據，是樣本數據中的常見類型之一。例如，工業普查數據，人口普查數據， ...

#43. Heterogeneity and cross section dependence in panel data ...

and heterogeneity in the analysis of panel data models and their relevance in applied econometric research. Cross section dependence can arise due to ...

#44. What is the difference between cross-section data, time series ...

A cross-sectional dataset is one where all data is treated as being at one point in time. · A time series dataset is one where the observations are time ...

#45. Pooled time series cross-section analysis - CiteSeerX

In this paper, I will try to describe the “state of the art” of this approach discussing first the characteristics of TSCS data and advantages and disadvantages ...

#46. Panel data (time-series cross-section)

How to set up data for panel (time-series cross-section) analysis, using the command xtset.

#47. Chapter 8. Case-control and cross sectional studies - The BMJ

More chapters in Epidemiology for the uninitiated Case-control studies As discussed in the previous chapter, one of the drawbacks of using a longitudinal ...

#48. Introduction to the Fundamentals of Panel Data - Aptech

Panel data, sometimes referred to as longitudinal data, is data that contains observations about different cross sections across time.

#49. Table of Simple Integral Neutron Cross-Section Data - Nuclear ...

pointwise cross-section data have been extensively performed. In this ... Thermal and Fast Cross Sections among JEF-1, JENDL-2, ENDF/B-V,.

#50. Subject 2. Time-Series and Cross-Sectional Data - Analyst ...

Time-series data is a set of observations collected at usually discrete and equally spaced time intervals. · Cross-sectional data are observations that come from ...

#51. Time-Series Techniques for Repeated Cross-Section Data

Such 'repeated cross-section' data may be drawn from opinion surveys conducted by ... regression (or OLS) model for cross-sectional data is well known:.

#52. Econometric Analysis of Cross Section and Panel Data ... - Stata

Comment from the Stata technical group. The second edition of Econometric Analysis of Cross Section and Panel Data, by Jeffrey Wooldridge, is invaluable to ...

#53. Econometric Analysis of Cross Section and ... - Amazon.com

Econometric Analysis of Cross Section and Panel Data, second edition (The MIT Press) [Wooldridge, Jeffrey M.] on Amazon.com. *FREE* shipping on qualifying ...

#54. Cross-sectional study of prevalence of dementia, behavioural ...

Even if there are studies on the prevalence of dementia, behavioural symptoms, and pain across Europe, this respective data is missing for ...

#55. The Analysis of Non-Stationary Pooled Time Series Cross ...

Cross -section dependence affects the size of panel unit- root tests (see below). 7. Subtracting the period-specific mean from the data before applying a unit- ...

#56. Time-Series-Cross-Section Analysis - University of Warwick

Because more survey data over time is available, these fields are using more PTSCS data. Panel data pool cross-sectional information (number of ...

#57. Cross-sectional data - HandWiki

Cross-sectional data, or a cross section of a study population, in statistics and econometrics is a type of data collected by observing many subjects (such ...

#58. Visualizing Cross-Sectional Data in a Real-World Context - Eos

Combining the capabilities of an open-source drawing tool with Google Earth maps allows researchers to visualize real-world cross-sectional ...

#59. The Single-Equation Linear Model and OLS Estimation | Stata ...

Econometric Analysis of Cross Section and Panel Data by Jeffrey M. ... The data files used for the examples in this text can be downloaded in a zip file ...

#60. The Definition and Use of a Cross-Sectional Study - Verywell ...

A cross-sectional study involves looking at data from a population at one specific point in time. The participants in this type of study are ...

#61. cross section of VIA - Data Respons

cross section of VIA. cross section of VIA. Contact. Get in touch +47 67 11 20 00. © Data Respons 2020 | Privacy. OUR COMPANIES Data Respons France

#62. Charged Particle Cross Section Database | IAEA

The Charged Particle Cross Section Database is intended for medical radioisotope production and for diagnostic radioisotopes and monitor reactions.

#63. Cross Section Analysis — MetPy 1.1

cross_section can obtain a cross-sectional slice through gridded data. import cartopy.crs as ccrs import cartopy.feature as ...

#64. 8. Panel Data, Time-Series Cross-Section Models

Panel Data, Time-Series Cross-Section Models. Regression models for repeated measures; Fixed effect models; Prais-Winston correction.

#65. Cross-Section File (*.riv) - iRIC Software User's Manual

The Cross-Section Data (*.riv) contains transverse data (x and y coordinates of left/right banks) and cross-section data (distance from left bank and ...

#66. Specifying Cross Section Data - Vectorworks

Specifying Cross Section Data. All structural objects that participate in calculations, including truss, straight truss, curved truss, lighting pipes, ...

#67. Analysing change over time: repeated cross sectional and ...

2.1. Repeated cross-sectional surveys. Cross-sectional survey data are data for a single point in time. Repeated cross-sectional data.

#68. Estimating cross-section common stochastic trends in nonstationary ...

Finally, factor models can be used to study cross-section cointegration in nonsta- tionary panel data. In testing the PPP hypothesis, for example, Banerjee et ...

#69. Demand Systems from Cross Section Data - CORE

Demand Systems from Cross Section Data: An Experiment for Indonesia. Abstract. A linear version of the Almost Ideal Demand System and the Multinomial Linear ...

#70. Assigning Survey Data to HEC‑RAS Cross Sections

Conflate Point Data command can be used to snap surveyed channel which imports geometry cross section data to a selected HEC-RAS cross section alignment.

#71. Using various point wise and multi-group cross section ...

It has been then decided to plan new developments in MORET 5 to control the whole criticality calculation process, from the reading of nuclear data to the Monte ...

#72. Adding Cross-Section Data – Learn Channel Studio

Adding Cross-Section Data. Once your river model layout is complete, you are ready to add data for each of the cross-sections. Channel sections ...

#73. Definitions and Units: Cross Section Data - hitran

Definitions and Units: Cross Section Data. Motivation and Definition. Although the goal of the HITRAN database[1] ...

#74. Cross Section Dependence in Panel Data Models - Faculty of ...

The Economic and Social Research Council (ESRC) funded project titled “Cross-sectional Dependence in Panel Data Models” makes an in-depth exploration of ...

#75. 3. Cross Section Configuration — OpenMC Documentation

In order to run a simulation with OpenMC, you will need cross section data for each nuclide or material in your problem. OpenMC can be run in continuous-energy ...

#76. Cross-Sectional Study Examples, Types and Benefits - Indeed

Cross -sectional studies can provide researchers with a wide variety of data concerning different populations.

#77. Digital Database of Channel Cross-Section Surveys, Mount St ...

Stream-channel cross-section survey data are a fundamental component to studies of fluvial geomorphology. Such data provide important parameters required by ...

#78. Limitation of a cross-sectional study - American Journal of ...

Additional data from earlier time points before actual canine impaction would help to clarify the factors that cause canine impaction, rather than result from ...

#79. POOLED TIME SERIES AND CROSS-SECTIONAL DATA ...

Economic datasets come in a variety of forms. The cross-sectional, time series, and panel data are the most commonly used kinds of datasets.

#80. cross-sectional sampling – APA Dictionary of Psychology

For example, cross-sectional sampling may involve collecting data from individuals of various ages or developmental levels so as to study behavioral or ...

#81. Generate cross-section from panel data in R [duplicate] - Stack ...

I have a panel data file (long format) and I need to convert it to cross-sectional data. That is I don't just need a transformation to the wide format but I ...

#82. Cross Section and Method Uncertainties - OSTI.GOV

V. Uncertainties Introduced in the Averaging of. Multigroup Cross Sections. 21. VI. Folding Nuclear Data Covariance Matrices with. Sensitivity Profiles.

#83. On the Pooling of Time Series and Cross Section Data

On the Pooling of Time Series and Cross Section Data. Yair Mundlak ([email protected]). Econometrica, 1978, vol. 46, issue 1, 69-85.

#84. [2108.07539] A new method for obtaining a Born cross section ...

In this article, we propose a new method for obtaining a Born cross section using visible cross section data. It is assumed that the initial state radiation is ...

#85. Fixed effects for IV using cross section data - Statalist

Fixed effects for IV using cross section data. 08 Sep 2020, 03:31. Dear Statlist users, I am studying the impact of parental investments in early childhood, ...

#86. Econ 582 Introduction to Pooled Cross Section and Panel Data

Example: National Longitudinal Survey of Youth (NLSY). Pooled Cross Section Data. • Pooling makes sense if cross sections are randomly ...

#87. panel data from time series of cross-sections - Princeton ...

cross -sections. For example, in the United Kingdom, there are no panel data on consumers' expenditure or on household labor supply, but there are several ...

#88. Cross-sectional Dependence in Panel Data Analysis

Key words: Panel data, Cross sectional dependence, Spatial dependence, Factor structure, Strong/Weak exogeneity.

#89. Cross Section in Height for Model Level Data with Orography ...

Cross Section in Height for Model Level Data with Orography Example ... of levels needed for the cross section # and converts temperature ...

#90. Utility analysis and the consumption function - EconBiz

Utility analysis and the consumption function: An interpretation of cross-section data. Franco Modigliani and Richard Brumberg ...

#91. How to Explain the Cross-Section of Equity Returns through ...

Data come from Reuters, correspond to nearly 1250 EU ... Cross-section regression results reveal that Market and a factor related to.

#92. What is a cross-sectional study? - Voxco

Thus, a cross-sectional research basically helps you analyse the “pulse” of the population at any given time with the help of the data collected.

#93. Cross Section Measurements and Uncertainties of Cross ...

for a given quantity and measurement result there is an infinite number of values dispersed around it, consistent with the data and one,s.

#94. cross-sectional study - 橫斷面研究 - 國家教育研究院雙語詞彙

名詞解釋: 橫斷面研究（cross-sectional study）原為發展心理學、臨床心理學、社會心理學、流行病學研究中常用的研究方法，意指在同一段時間內，觀察或實驗比較同一個 ...

#95. Introduction to study designs - cross-sectional studies - Health ...

Relatively quick and easy to conduct (no long periods of follow-up). · Data on all variables is only collected once. · Able to measure prevalence for all factors ...

#96. radar cross section | IEEE DataPort

The data shows how radio waves are scattered by different UAVs at the specified frequency range. Instructions: Some of DJI, Walkera, Parrot and Kyosho drones ...