Categorical Data Analysis, (Wiley Series in Probability and Mathematical Statistics, Applied Probability and Statistics)

Agresti, Alan

ISBN 10: 0471853011 / ISBN 13: 9780471853015

Editore: Wiley-Interscience, 1990

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VERY GOOD/VERY GOOD CLEAN TEXT PREVIOUS STAMP ON FLYPAGE 1990 ED. 11TH. PRINTING.

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Dati bibliografici

• Titolo: Categorical Data Analysis, (Wiley Series in Probability and Mathematical Statistics, Applied Probability and Statistics)
• Editore: Wiley-Interscience
• Data di pubblicazione: 1990
• Lingua: Inglese
• ISBN 10: 0471853011
• ISBN 13: 9780471853015
• Rilegatura: hardcover
• Edizione: 1990 ED. 11TH. PRINTING.
• Condizione: VERY GOOD CLEAN TEXT
• Condizione della sovraccoperta: DUST JACKET VERY GOOD
• Peso: 31 once

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Riassunto

Categorical Data Analysis describes the most important methods, offering a unified presentation of modeling using generalized linear models and emphasizing loglinear and logit modeling techniques. Contributions of noted statisticians (Pearson, Yule, Fisher, Neyman, Cochran), whose pioneering efforts set the pace for the evolution of modern methods, are examined as well. Special features of the book include: Coverage of methods for repeated measurement data, which have become increasingly important in biomedical applications Prescriptions for how ordinal variables should be treated differently than nominal variables Derivations of basic asymptotic and fixed-sample-size inferential methods Discussion of exact small sample procedures More than 40 examples of analyses of "real" data sets, including: aspirin use and heart disease; job satisfaction and income; seat belt use and injuries in auto accidents; and predicting outcomes of baseball games More than 400 exercises to facilitate interpretation and application of methods Categorical Data Analysis also contains an appendix that describes the use of computer software currently available for performing the analyses presented in the book. A comprehensive bibliography and notes and the end of each chapter round out the work, making it a complete, invaluable reference for statisticians, biostatisticians and professional researchers.