Statistics Done Wrong pdf epub mobi txt 電子書下載 2024

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Alex Reinhart

No Starch Press

2015-3-16

176

USD 24.95

Paperback

9781593276201

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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发表于2024-08-02

Statistics Done Wrong epub 下載 mobi 下載 pdf 下載 txt 電子書下載 2024

Statistics Done Wrong pdf epub mobi txt 電子書下載 2024

圖書描述

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.

Statistics Done Wrong 下載 mobi epub pdf txt 電子書

著者簡介

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.

圖書目錄

Statistics Done Wrong pdf epub mobi txt 電子書下載

想要找書就要到小哈圖書下載中心

qciss.net

立刻按 ctrl+D收藏本頁

你會得到大驚喜!!

用戶評價

評分☆☆☆☆☆

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

評分☆☆☆☆☆

當統計學科普來讀瞭，關於p值和假設檢驗的部分其實是比較容易搞錯，幾乎日常聽到的很多說法這麼嚴格說來都根本是錯的。

評分☆☆☆☆☆

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。