An accessible introduction to linear statistical models for both observational and experimental data. Linear modeling provides a coherent approach to the analysis of data from a wide variety of studies and this work shows how to develop and analyze linear models for categorical as well as for continuous responses. Suitable for self-study as well as a classroom text.
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The author is Emeritus Professor of Psychology and Statistics at the University of Washington. He is the author or coauthor of three statistics texts and more than 90 research papers in psychometrics, multivariate analysis, and computer intensive statistical methods.
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