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Generalized, linear, and mixed models / Charles E. McCulloch, Shayle R. Searle.

By: Contributor(s): Material type: TextTextLanguage: English Series: Wiley series in probability and statistics. Applied probability and statistics.Publication details: New York : John Wiley & Sons, 2001.Description: xxi, 325 pages : illustrations ; 25 cmISBN:
  • 047119364X (cloth : alk. paper)
Subject(s): LOC classification:
  • QA 279 M478g 2001
Online resources: Summary: Wiley Series in Probability and Statistics A modern perspective on mixed models The availability of powerful computing methods in recent decades has thrust linear and nonlinear mixed models into the mainstream of statistical application. This volume offers a modern perspective on generalized, linear, and mixed models, presenting a unified and accessible treatment of the newest statistical methods for analyzing correlated, nonnormally distributed data.
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Holdings
Item type Current library Home library Collection Shelving location Call number Copy number Status Date due Barcode
Libro Libro Biblioteca Juan Bosch Biblioteca Juan Bosch Ciencias Sociales Ciencias Sociales (3er. Piso) QA 279 M478g 2001 (Browse shelf(Opens below)) 1 Available 00000122237

Includes bibliographical references and index.

Wiley Series in Probability and Statistics A modern perspective on mixed models The availability of powerful computing methods in recent decades has thrust linear and nonlinear mixed models into the mainstream of statistical application. This volume offers a modern perspective on generalized, linear, and mixed models, presenting a unified and accessible treatment of the newest statistical methods for analyzing correlated, nonnormally distributed data.

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