

Applied linear statistical models
by John Neter
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A key feature of this book is its unified approach to the application of linear statistical models in regression, analysis of variance, and experimental designs. Instead of treating these areas in isolated fashion, the authors seek to show the interrelationships between them. Use of a common notation for regression on the one hand and analysis of variance and experimenal designs on the other facilitates a unified view. The notion of a general linear statistical model, which arises naturally in the context of regression models, is carried over to analysis of variance and experimental design models to bring out their relation to gregression models. This unified approach also has the advantage of simplified presentation.
