The analysis of variance : fixed, random, and mixed models / Hardeo Sahai, Mohammed I. Ageel.

By: Sahai, Hardeo
Contributor(s): Ageel, Mohammed I, 1959-
Material type: TextTextLanguage: English Publisher: Boston : Birkhäuser, c2000Description: xxxv, 742 p. : ill. ; 25 cmISBN: 0817640126 (acidfree paper); 3764340126 (acidfree paper); 9780817640125 Subject(s): Analysis of varianceDDC classification: 519.538 LOC classification: QA279 | .S22 2000Online resources: Ebook Fulltext | http://lib.ewubd.edu/ebook/6772
Contents:
Table of contents 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 (Hierarchical) Classification -- 7. Three-Way and Higher-Order Nested Classifications -- 8. Partially Nested Classifications -- 9. Finite Population and Other Models -- 10. Some Simple Experimental Designs -- 11. Analysis of Variance Using Statistical Computing Packages -- App. A. Student's t Distribution -- App. B. Chi-Square Distribution -- App. C. Sampling Distribution of (n -- 1) S[superscript 2]/[sigma][superscript 2] -- App. D.F Distribution -- App. E. Noncentral Chi-Square Distribution -- App. F. Noncentral and Doubly Noncentral t Distributions -- App. G. Noncentral F Distribution -- App. H. Doubly Noncentral F Distribution -- App. I. Studentized Range Distribution -- App. J. Studentized Maximum Modulus Distribution -- App. K. Satterthwaite Procedure and Its Application to Analysis of Variance -- App. L. Components of Variance -- App. M. Intraclass Correlation -- App. N. Analysis of Covariance -- App. O. Equivalence of the Anova F and Two-Sample t Tests -- App. P. Equivalence of the Anova F and Paired t Tests -- App. Q. Expected Value and Variance -- App. R. Covariance and Correlation -- App. S. Rules for Determining the Analysis of Variance Model -- App. T. Rules for Calculating Sums of Squares and Degrees for Freedom -- App. U. Rules for Finding Expected Mean Squares -- App. V. Samples and Sampling Distribution -- App. W. Methods of Statistical Inference -- App. X. Some Selected Latin Squares -- App. Y. Some Selected Graeco-Latin Squares -- App. Z. PROC MIXED Outputs for Some Selected Worked Examples.
Summary: Summary: This analysis of variance models provides a detailed and modern introduction to fixed, random and mixed effects of analysis of variance, including models, populations, hypotheses and assumptions.
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Includes bibliographical references and indexes.

Table of contents 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 (Hierarchical) Classification --
7. Three-Way and Higher-Order Nested Classifications --
8. Partially Nested Classifications --
9. Finite Population and Other Models --
10. Some Simple Experimental Designs --
11. Analysis of Variance Using Statistical Computing Packages --
App. A. Student's t Distribution --
App. B. Chi-Square Distribution --
App. C. Sampling Distribution of (n --
1) S[superscript 2]/[sigma][superscript 2] --
App. D.F Distribution --
App. E. Noncentral Chi-Square Distribution --
App. F. Noncentral and Doubly Noncentral t Distributions --
App. G. Noncentral F Distribution --
App. H. Doubly Noncentral F Distribution --
App. I. Studentized Range Distribution --
App. J. Studentized Maximum Modulus Distribution --
App. K. Satterthwaite Procedure and Its Application to Analysis of Variance --
App. L. Components of Variance --
App. M. Intraclass Correlation --
App. N. Analysis of Covariance --
App. O. Equivalence of the Anova F and Two-Sample t Tests --
App. P. Equivalence of the Anova F and Paired t Tests --
App. Q. Expected Value and Variance --
App. R. Covariance and Correlation --
App. S. Rules for Determining the Analysis of Variance Model --
App. T. Rules for Calculating Sums of Squares and Degrees for Freedom --
App. U. Rules for Finding Expected Mean Squares --
App. V. Samples and Sampling Distribution --
App. W. Methods of Statistical Inference --
App. X. Some Selected Latin Squares --
App. Y. Some Selected Graeco-Latin Squares --
App. Z. PROC MIXED Outputs for Some Selected Worked Examples.

Summary:
This analysis of variance models provides a detailed and modern introduction to fixed, random and mixed effects of analysis of variance, including models, populations, hypotheses and assumptions.

Applied Statistics

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