SAS for mixed models

SAS for mixed models

The indispensable, up-to-date guide to mixed models using SAS. Discover the latest capabilities available for a variety of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures in SAS for Mixed Models, Second Edition, the comprehensive mixed models guide for data analysis, completely rev...

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Bibliographic Details
Other Authors: Littell, Ramon, author (author), Littell, Ramon C Contributor (contributor)
Format: eBook
Language:Inglés
Published: [Place of publication not identified] SAS Institute Inc 2006
Edition:2nd ed
Subjects:
SAS (Computer file)
Mathematical statistics > Data processing.
Electronic data processing.
Computer science.
Statistics.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009646928806719
Table of Contents:
  • Introduction
  • Randomized block designs
  • Random effects models
  • Multi-factor treatment designs with multiple error terms
  • Analysis of repeated measures data
  • Best linear unbiased prediction
  • Analysis of covariance
  • Random coefficient models
  • Heterogeneous variance models
  • Mixed model diagnostics
  • Spatial variability
  • Power calculations for mixed models
  • Some Bayesian approaches to mixed models
  • Generalized linear mixed models
  • Nonlinear mixed models
  • Case studies
  • Appendix 1. Linear mixed model theory
  • Appendix 2. Data sets.

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