Appropriate for statistics, biostatistics, mathematics, psychology, sociology, business, and industrial engineering students or anyone who intends to use regression analysis in their work, this text offers a traditional structure with a modern flavor. The authors emphasize model development; the intuitive logic and assumptions that underlie the techniques covered as well as the purposes, advantages and disadvantages, and valid interpretations of those techniques.
This significant revision also offers:
-- Many new problems based on real data with applications to business, and the social and life sciences
-- New chapters on analysis of repeated measures data, logistic regression analysis, and Poisson regression analysis that reflect current thinking
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