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Maintaining the same nontechnical approach as its acclaimed predecessor, this second edition of Generalized Linear Models is now thoroughly extended to include the latest developments in the field, the most relevant computational approaches, and the most relevant examples from the fields of engineering and physical sciences. This new edition is more tutorial in nature with added examples, exercises, and step-by-step analyses that can be easily worked using the SAS, Minitab, JMP, and R software packages. Its relevant for upper-undergraduate and graduate students as well as engineers, scientists, and statisticians.