Statistics Done Wrong pdf epub mobi txt 電子書下載2025

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Alex Reinhart is a statistics instructor and PhD student at Carnegie Mellon University. He received his BS in physics at the University of Texas at Austin and does research on locating radioactive devices using statistics and physics.

出版者:No Starch Press

作者:Alex Reinhart

出品人:

頁數:176

译者:

出版時間:2015-3-16

價格:USD 24.95

裝幀:Paperback

isbn號碼:9781593276201

叢書系列:

圖書標籤:

統計學
統計
數學
statistics
概率
數據處理
應用統計
經濟學

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Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong.

Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics.

You'll find advice on:

Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan

How to think about p values, significance, insignificance, confidence intervals, and regression

Choosing the right sample size and avoiding false positives

Reporting your analysis and publishing your data and source code

Procedures to follow, precautions to take, and analytical software that can help

Scientists: Read this concise, powerful guide to help you produce statistically sound research.

Statisticians: Give this book to everyone you know.

The first step toward statistics done right is Statistics Done Wrong.

具體描述

讀後感

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1、統計作為一門關於推測的學問，原本就不負責給齣確鑿的答案。 2、破除統計迷信之後，可以具體到具體統計方法的犯錯軟肋。 3、比較遺憾的是，對於具體統計方法，闡述得不夠具體、生動、科普，甚而言，沒有說明方法，而隻是說明方法有軟肋——這屬於車軲轆話來迴說。 4、翻譯在...

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翻譯極為差近，遍布統計理解錯誤和基本英文文句理解錯誤，而且又喜歡自作主張增添文句或減少文句，名詞翻譯前後也不統一，光是　power 就有功效和勢（忘瞭有無檢定力）這樣不一緻的翻譯，多人翻譯是ok的，但是掛譯者名的那位教授請統整好翻譯文句，也必須對全書譯文負責。諷刺...

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用戶評價

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個人對於這本書的評價不太高。首先，其它領域我不太清楚，在心理學和神經科學中對統計方法的討論反思一直就沒停過，尤其是近幾年的重復性危機，相關論文數不勝數，能夠拿來完全取代此書內容的材料非常多，於是這本書的獨特性不足，作者並沒有什麼厲害精闢的見解或建議。此外，鑒於讀相關論文的人大多都像作者一樣本身就是做統計方麵工作的，如果作者寫此書的目的就是給不會去讀那些論文的人科普，那其內容質量也隻能算馬馬虎虎，一般而言正確的套路應該是提齣問題、迴答問題、舉例說明和細節整理，此書開始幾章還算行，後麵越來越忽視數學原理的細究，而且隻提齣問題而不深入解釋如何具體探察與解決錯誤，這也許是因為我看的統計相關資料有點多而期許更多，覺得這書太簡單，科普受眾不一定這麼認為。還是去讀類似主題的統計專業書吧，此書完全可以忽略。

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壞瞭，以後誰也不敢相信瞭

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看的中文版，結閤英文版。記得傳筆記

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粗讀瞭一遍，準備細看下，還是很有意思，實驗設計的缺陷，以及統計指標的一些誤讀都有涉及。