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Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences
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简体网页||繁体网页
Doncaster, Patrick/ Davey, Andrew 作者
Cambridge Univ Pr
译者
2007-11 出版日期
302 页数
$ 66.67 价格
Pap
丛书系列
9780521684477 图书编码

Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences 在线电子书 图书标签: 统计学  方差分析  数学   

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Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


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Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences 在线电子书 著者简介

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Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences 在线电子书 图书描述

Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between statistical theory and practical data analysis by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to three treatment factors. The book will serve as a tool to help post-graduates and professionals define their hypotheses, design appropriate experiments, translate them into a statistical model, validate the output from statistics packages and verify results. The systematic layout makes it easy for readers to identify which types of model best fit the themes they are investigating, and to evaluate the strengths and weaknesses of alternative experimental designs. In addition, a concise introduction to the principles of analysis of variance and covariance is provided, alongside worked examples illustrating issues and decisions faced by analysts.

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