Khuri / Mathew / Sinha Statistical Tests for Mixed Linear Models

1. Auflage 2011
ISBN: 978-1-118-16485-3
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 384 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

An advanced discussion of linear models with mixed or randomeffects.
In recent years a breakthrough has occurred in our ability todraw inferences from exact and optimum tests of variance componentmodels, generating much research activity that relies on linearmodels with mixed and random effects. This volume covers the mostimportant research of the past decade as well as the latestdevelopments in hypothesis testing. It compiles all currentlyavailable results in the area of exact and optimum tests forvariance component models and offers the only comprehensivetreatment for these models at an advanced level.
Statistical Tests for Mixed Linear Models:
* Combines analysis and testing in one self-containedvolume.
* Describes analysis of variance (ANOVA) procedures in balancedand unbalanced data situations.
* Examines methods for determining the effect of imbalance ondata analysis.
* Explains exact and optimum tests and methods for theirderivation.
* Summarizes test procedures for multivariate mixed and randommodels.
* Enables novice readers to skip the derivations and discussionson optimum tests. Offers plentiful examples and exercises, manyof which are numerical in flavor.
* Provides solutions to selected exercises.
Statistical Tests for Mixed Linear Models is an accessiblereference for researchers in analysis of variance, experimentaldesign, variance component analysis, and linear mixed models. It isalso an important text for graduate students interested in mixedmodels.

Autoren/Hrsg.

Khuri, André I.

Mathew, Thomas

Sinha, Bimal K.

Inhaltsverzeichnis

Nature of Exact and Optimum Tests in Mixed Linear Models.
Balanced Random and Mixed Models.
Measures of Data Imbalance.
Unbalanced One-Way and Two-Way Random Models.
Random Models with Unequal Cell Frequencies in the LastStage.
Tests in Unbalanced Mixed Models.
Recovery of Inter-Block Information.
Split-Plot Designs Under Mixed and Random Models.
Tests Using Generalized P-Values.
Multivariate Mixed and Random Models.
Appendix.
General Bibliography.
Indexes.

Über Autor(innen)

Andre I. Khuri, PhD, is Professor of Statistics at theUniversity of Florida in Gainesville and author of AdvancedCalculus with Applications in Statistics and ResponseSurfaces: Designs and Analyses.
Thomas Mathew and Bimal K. Sinha are Professors ofStatistics at the University of Maryland. Professor Sinha iscoauthor of Robustness of Statistical Tests.