Generalized, linear, and mixed models /

An accessible and self-contained introduction to statistical models-now in a modernized new editionGeneralized, Linear, and Mixed Models, Second Edition provides an up-to-date treatment of the essential techniques for developing and applying a wide variety of statistical models. The book presents th...

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Bibliographic Details
Main Author: McCulloch, Charles E.
Corporate Author: Ebook Library
Other Authors: Searle, S. R. (Shayle R.), 1928-, Neuhaus, John M.
Format: eBook
Language:English
Published: Hoboken : Wiley, 2008.
Edition:2nd ed.
Series:Wiley series in probability and statistics.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Introduction
  • One-way classifications
  • Single-predictor regression
  • Linear models (LMs )
  • Generalized linear models (GLMs)
  • Linear mixed models (LMMs)
  • GlMMs
  • Longitudinal data
  • Marginal models
  • Multivariate models
  • Nonlinear models
  • Departures from assumptions
  • Prediction
  • Computing.