Two-Way analysis of variance : statistical tests and graphics using R

In statistics, analysis of variance (ANOVA) is a collection of statistical models used to distinguish between an observed variance in a particular variable and its component parts.  In its simplest form, ANOVA provides a statistical test of whether or not the means of several groups are all equal, a...

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書誌詳細
第一著者: McFarland, Thomas W.
フォーマット: Livre numérique
言語:Anglais
出版事項: New York, NY : Springer New York 2012.
Cham : Springer Nature
シリーズ:SpringerBriefs in Statistics
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Edition sous un autre format:• Two-Way Analysis of Variance, Texte imprimé, 9781461421337
• Two-Way Analysis of Variance, Texte imprimé, 9781461421351
その他の書誌記述
要約:In statistics, analysis of variance (ANOVA) is a collection of statistical models used to distinguish between an observed variance in a particular variable and its component parts.  In its simplest form, ANOVA provides a statistical test of whether or not the means of several groups are all equal, and therefore generalizes a test between these groups. One test often used by statisticians and researchers in their work is the Two-Way ANOVA, which determines the differences--and possible interactions--when variables are presented from the perspective of two or more categories.  When a Two-Way ANOVA is implemented, it enables one to compare and contrast variables resulting from independent or joint actions. This brief provides guidance on how R can be used to facilitate Two-Way ANOVA for data analysis and graphical presentation.  Along with instruction on the use of R and R syntax associated with Two-Way ANOVA, this brief will also reinforce the use of descriptive statistics and graphical figures to complement outcomes from parametric Two-Way ANOVA. .
記述事項:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9781461421344
ISSN:2191-5458
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