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Two-way analysis of variance : ウィキペディア英語版 | Two-way analysis of variance
In statistics, the two-way analysis of variance (ANOVA) is an extension of the one-way ANOVA that examines the influence of two different categorical independent variables on one continuous dependent variable. The two-way ANOVA not only aims at assessing the main effect of each independent variable but also if there is any interaction between them. ==History== In 1925, Ronald Fisher mentions the two-way ANOVA in his celebrated book from 1925, ''Statistical Methods for Research Workers'' (chapters 7 and 8). In 1934, Frank Yates published procedures for the unbalanced case. Since then, an extensive literature has been produced, reviewed in 1993 by Yasunori Fujikoshi. In 2005, Andrew Gelman proposed a different approach of ANOVA, viewed as a multilevel model.
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