Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences

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Doncaster, Patrick/ Davey, Andrew 作者
Cambridge Univ Pr
譯者
2007-11 出版日期
302 頁數
$ 66.67 價格
Pap
叢書系列
9780521684477 圖書編碼

Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences 在線電子書 圖書標籤: 統計學  方差分析  數學   


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Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences 在線電子書 著者簡介


Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences 在線電子書 著者簡介


Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences 在線電子書 圖書描述

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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