Statistics Done Wrong 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Alex Reinhart 作者

No Starch Press

译者

2015-3-16 出版日期

176 页数

USD 24.95 价格

Paperback

丛书系列

9781593276201 图书编码

Statistics Done Wrong 在线电子书图书标签: 统计学统计数学 statistics 概率数据处理应用统计经济学

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发表于2024-09-27

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Statistics Done Wrong 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Statistics Done Wrong 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Statistics Done Wrong 在线电子书用户评价

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看名字就知道哪些书是我痛下决心买了实体的。（字体设计真的太烂了。/开始特别恐慌，因为都是phd student 他在写书我在看他写的书。但是看完觉得还好，只是一个side project 的规模和水准，基本也没有作者太多一线经验。不过人家对统计学的理解确实很不错。

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当统计学科普来读了，关于p值和假设检验的部分其实是比较容易搞错，几乎日常听到的很多说法这么严格说来都根本是错的。

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看的中文版，结合英文版。记得传笔记

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去肥城的路上，坐我旁边的帅帅白哥哥用他看了半路的小说拍死了我座椅上的一直bug，然后我问他借了这本书，看了半路，虽然对学渣的我的thesis并没有什么卵用，但还是初阶涨姿势好书，doing statistic right before doing it right

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作为统计系的PhD学生读这本书还是很有收获。以后consulting更要好好工作啦~

Statistics Done Wrong 在线电子书著者简介

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.

Statistics Done Wrong 在线电子书图书目录

Statistics Done Wrong 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Statistics Done Wrong 在线电子书图书描述

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.

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