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Foundations of Linear and Generalized Linear Models by Alan Agresti

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WILEY SERIES IN PROBABILITY AND STATISTICS

ESTABLISHED BY WALTER A. SHEWHART AND SAMUEL S. WILKS

Editors: David J. Balding, Noel A. C. Cressie, Garrett M. Fitzmaurice, Geof H. Givens, Harvey Goldstein, Geert Molenberghs, David W. Scott, Adrian F. M. Smith, Ruey S. Tsay, Sanford Weisberg

Editors Emeriti: J. Stuart Hunter, Iain M. Johnstone, Joseph B. Kadane, Jozef L. Teugels

The Wiley Series in Probability and Statistics is well established and authoritative. It covers many topics of current research interest in both pure and applied statistics and probability theory. Written by leading statisticians and institutions, the titles span both state-of-the-art developments in the field and classical methods.

Reflecting the wide range of current research in statistics, the series encompasses applied, methodological and theoretical statistics, ranging from applications and new techniques made possible by advances in computerized practice to rigorous treatment of theoretical approaches.

This series provides essential and invaluable reading for all statisticians, whether in academia, industry, government, or research.

  • ABRAHAM and LEDOLTER · Statistical Methods for Forecasting
  • AGRESTI · Analysis of Ordinal Categorical Data, Second Edition
  • AGRESTI · An Introduction to Categorical Data Analysis, Second Edition
  • AGRESTI · Categorical Data Analysis, Third Edition
  • AGRESTI · Foundations of Linear and Generalized Linear Models
  • ALSTON, MENGERSEN and PETTITT (editors) · Case Studies in Bayesian ...

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