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An Introduction to Statistical Inference and Its Applications with R 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

An Introduction to Statistical Inference and Its Applications with R
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简体网页||繁体网页
Michael W. Trosset 作者
Chapman and Hall/CRC
译者
2009-6-23 出版日期
496 页数
USD 94.95 价格
Hardcover
丛书系列
9781584889472 图书编码

An Introduction to Statistical Inference and Its Applications with R 在线电子书 图书标签: 统计学  教材   

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An Introduction to Statistical Inference and Its Applications with R 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

An Introduction to Statistical Inference and Its Applications with R 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

An Introduction to Statistical Inference and Its Applications with R 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


An Introduction to Statistical Inference and Its Applications with R 在线电子书 用户评价

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例子蛮多的，理论降低到最小化。特别适合考试，但没什么实用价值感觉。

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例子蛮多的，理论降低到最小化。特别适合考试，但没什么实用价值感觉。

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例子蛮多的，理论降低到最小化。特别适合考试，但没什么实用价值感觉。

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例子蛮多的，理论降低到最小化。特别适合考试，但没什么实用价值感觉。

评分☆☆☆☆☆

例子蛮多的，理论降低到最小化。特别适合考试，但没什么实用价值感觉。

An Introduction to Statistical Inference and Its Applications with R 在线电子书 著者简介

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An Introduction to Statistical Inference and Its Applications with R 在线电子书 图书描述

Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and exercises are included. R is used to simplify computation, create figures, and draw pseudorandom samples-not to perform entire analyses.After discussing the importance of chance in experimentation, the text develops basic tools of probability. The plug-in principle then provides a transition from populations to samples, motivating a variety of summary statistics and diagnostic techniques. The heart of the text is a careful exposition of point estimation, hypothesis testing, and confidence intervals. The author then explains procedures for 1- and 2-sample location problems, analysis of variance, goodness-of-fit, and correlation and regression. He concludes by discussing the role of simulation in modern statistical inference.Focusing on the assumptions that underlie popular statistical methods, this textbook explains how and why these methods are used to analyze experimental data.

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