This graduate-level book succinctly describes the role of analysis of variance (ANOVA) in the study of linear models. Applications to linear regression (both simple and multiple) and to experimental design are included in order to help explain the theory behind and the analysis of ANOVA techniques. Throughout the book there is an equal emphasis on orthogonal representations that delve from the history of the subject and on the vector-matrix approach that has surfaced in recent years. The theory is supported with ample exercises including a generous mix of application, theory, and real data.
Solved examples throughout bring clarity to otherwise difficult, complex concepts. Highly recommended. (CHOICE, March 2009)
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