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 analysis of covariance:some experiments combine regression and ANOVA by fitting a series  of regression lines, one in each of several levels of a given factor .One-way ANOVA: to compare several means...

A factorial experiment has two or more factors, each with two or more levels, plus replication for each combination of factors levels.        This means that we can investigate statistical interaction...

11.3.1 Split-plot experimentsIn a split-plot experiment, different treatments are applied to plots of different sizes. Each different plot size is associated with its own error variance, so instead of...

For random effects we are often more interested in the question of how much of the variation in the responsevariable can be attributed to a given factor, than we are in estimating means or assessing t...