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.

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讀後感

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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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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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用戶評價

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心理學關於replication的crisis一定程度上揭露瞭一部分學者統計上“耍小聰明”（p-hacking），但是學界各大期刊接收的標準，又被publication bias左右，publication又被視為學術職稱的評價標準，這就是個無解的局瞭。簡而言之，單個研究的結果，基本上都是要打摺的，要能survive replication以及meta-analysis纔能算結論比較可信。對我而言這書的觀點不算新瞭，之前的naked statistics，7 pillars of statistics，how to lie 係列都有一樣的觀點。

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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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去肥城的路上，坐我旁邊的帥帥白哥哥用他看瞭半路的小說拍死瞭我座椅上的一直bug，然後我問他藉瞭這本書，看瞭半路，雖然對學渣的我的thesis並沒有什麼卵用，但還是初階漲姿勢好書，doing statistic right before doing it right

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