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Analysis of Variance for Random Models

Volume I: Balanced Data Theory, Methods, Applications and Data Analysis
Langbeschreibung
Analysis of variance (ANOVA) models have become widely used tools and play a fundamental role in much of the application of statistics today. In particular, ANOVA models involving random effects have found widespread application to experimental design in a variety of fields requiring measurements of variance, including agriculture, biology, animal breeding, applied genetics, econometrics, quality control, medicine, engineering, and social sciences.This two-volume work is a comprehensive presentation of different methods and techniques for point estimation, interval estimation, and tests of hypotheses for linear models involving random effects. Both Bayesian and repeated sampling procedures are considered. Volume I examines models with balanced data (orthogonal models); Volume II studies models with unbalanced data (nonorthogonal models).Features and Topics:
Inhaltsverzeichnis
1 Introduction.- 2 One-Way Classification.- 3 Two-Way Crossed Classification without Interaction.- 4 Two-Way Crossed Classification with Interaction.- 5 Three-Way and Higher-Order Crossed Classifications.- 6 Two-Way Nested Classification.- 7 Three-Way and Higher-Order Nested Classifications.- 8 General Balanced Random Effects Model.- Appendices.- General Bibliography.- Author Index.
ISBN-13:
9780817681685
Veröffentl:
2013
Seiten:
484
Autor:
Hardeo Sahai
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch

53,49 €*

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