Applied multivariate analysis /

Applied multivariate analysis /

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Bibliographic Details
Author / Creator:Timm, Neil H.
Imprint:New York : Springer, c2002.
Description:xxiv, 693 p. : ill. ; 25 cm.
Language:English
Series:Springer texts in statistics
Subject:
Multivariate analysis.
Multivariate analysis.
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/4721400
Hidden Bibliographic Details
ISBN:0387953477 (alk. paper)
Notes:Includes bibliographical references (p. [625]-666) and indexes.

MARC

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504 |a Includes bibliographical references (p. [625]-666) and indexes. 
505 0 0 |g 1.  |t Introduction --  |g 2.  |t Vectors and Matrices --  |g 2.1.  |t Introduction --  |g 2.2.  |t Vectors, Vector Spaces, and Vector Subspaces --  |g 2.3.  |t Bases, Vector Norms, and the Algebra of Vector Spaces --  |g 2.4.  |t Basic Matrix Operations --  |g 2.5.  |t Rank, Inverse, and Determinant --  |g 2.6.  |t Systems of Equations, Transformations, and Quadratic Forms --  |g 2.7.  |t Limits and Asymptotics --  |g 3.  |t Multivariate Distributions and the Linear Model --  |g 3.1.  |t Introduction --  |g 3.2.  |t Random Vectors and Matrices --  |g 3.3.  |t The Multivariate Normal (MVN) Distribution --  |g 3.4.  |t The Chi-Square and Wishart Distributions --  |g 3.5.  |t Other Multivariate Distributions --  |g 3.6.  |t The General Linear Model --  |g 3.7.  |t Evaluating Normality --  |g 3.8.  |t Tests of Covariance Matrices --  |g 3.9.  |t Tests of Location --  |g 3.10.  |t Univariate Profile Analysis --  |g 3.11.  |t Power Calculations --  |g 4.  |t Multivariate Regression Models --  |g 4.1.  |t Introduction --  |g 4.2.  |t Multivariate Regression --  |g 4.3.  |t Multivariate Regression Example --  |g 4.4.  |t One-Way MANOVA and MANCOVA --  |g 4.5.  |t One-Way MANOVA/MANCOVA Examples --  |g 4.6.  |t MANOVA/MANCOVA with Unequal [Sigma][subscript i] or Nonnormal Data --  |g 4.7.  |t One-Way MANOVA with Unequal [Sigma][subscript i] Example --  |g 4.8.  |t Two-Way MANOVA/MANCOVA --  |g 4.9.  |t Two-Way MANOVA/MANCOVA Example --  |g 4.10.  |t Nonorthogonal Two-Way MANOVA Designs --  |g 4.11.  |t Unbalance, Nonorthogonal Designs Example --  |g 4.12.  |t Higher Ordered Fixed Effect, Nested and Other Designs --  |g 4.13.  |t Complex Design Examples --  |g 4.14.  |t Repeated Measurement Designs --  |g 4.15.  |t Repeated Measurements and Extended Linear Hypotheses Example --  |g 4.16.  |t Robustness and Power Analysis for MR Models --  |g 4.17.  |t Power Calculations - Power.sas --  |g 4.18.  |t Testing for Mean Differences with Unequal Covariance Matrices --  |g 5.  |t Seemingly Unrelated Regression Models --  |g 5.1.  |t Introduction --  |g 5.2.  |t The SUR Model --  |g 5.3.  |t Seeming Unrelated Regression Example --  |g 5.4.  |t The CGMANOVA Model --  |g 5.5.  |t CGMANOVA Example --  |g 5.6.  |t The GMANOVA Model --  |g 5.7.  |t GMANOVA Example --  |g 5.8.  |t Tests of Nonadditivity --  |g 5.9.  |t Testing for Nonadditivity Example --  |g 5.10.  |t Lack of Fit Test --  |g 5.11.  |t Sum of Profile Designs --  |g 5.12.  |t The Multivariate SUR (MSUR) Model --  |g 5.13.  |t Sum of Profile Example --  |g 5.14.  |t Testing Model Specification in SUR Models --  |g 5.15.  |t Miscellanea --  |g 6.  |t Multivariate Random and Mixed Models --  |g 6.1.  |t Introduction --  |g 6.2.  |t Random Coefficient Regression Models --  |g 6.3.  |t Univariate General Linear Mixed Models --  |g 6.4.  |t Mixed Model Examples --  |g 6.5.  |t Mixed Multivariate Models --  |g 6.6.  |t Balanced Mixed Multivariate Models Examples --  |g 6.7.  |t Double Multivariate Model (DMM) --  |g 6.8.  |t Double Multivariate Model Examples --  |g 6.9.  |t Multivariate Hierarchical Linear Models --  |g 6.10.  |t Tests of Means with Unequal Covariance Matrices --  |g 7.  |t Discriminant and Classification Analysis --  |g 7.1.  |t Introduction --  |g 7.2.  |t Two Group Discrimination and Classification --  |g 7.3.  |t Two Group Discriminant Analysis Example --  |g 7.4.  |t Multiple Group Discrimination and Classification --  |g 7.5.  |t Multiple Group Discriminant Analysis Example --  |g 8.  |t Principal Component, Canonical Correlation, and Exploratory Factor Analysis --  |g 8.1.  |t Introduction --  |g 8.2.  |t Principal Component Analysis --  |g 8.3.  |t Principal Component Analysis Examples --  |g 8.4.  |t Statistical Tests in Principal Component Analysis --  |g 8.5.  |t Regression on Principal Components --  |g 8.6.  |t Multivariate Regression on Principal Components Example --  |g 8.7.  |t Canonical Correlation Analysis --  |g 8.8.  |t Canonical Correlation Analysis Examples --  |g 8.9.  |t Exploratory Factor Analysis --  |g 8.10.  |t Exploratory Factor Analysis Examples --  |g 9.  |t Cluster Analysis and Multidimensional Scaling --  |g 9.1.  |t Introduction --  |g 9.2.  |t Proximity Measures --  |g 9.3.  |t Cluster Analysis --  |g 9.4.  |t Cluster Analysis Examples --  |g 9.5.  |t Multidimensional Scaling --  |g 9.6.  |t Multidimensional Scaling Examples --  |g 10.  |t Structural Equation Models --  |g 10.1.  |t Introduction --  |g 10.2.  |t Path Diagrams, Basic Notation, and the General Approach --  |g 10.3.  |t Confirmatory Factor Analysis --  |g 10.4.  |t Confirmatory Factor Analysis Examples --  |g 10.5.  |t Path Analysis --  |g 10.6.  |t Path Analysis Examples --  |g 10.7.  |t Structural Equations with Manifest and Latent Variables --  |g 10.8.  |t Structural Equations with Manifest and Latent Variables Example --  |g 10.9.  |t Longitudinal Analysis with Latent Variables --  |g 10.10.  |t Exogeniety in Structural Equation Models. 
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927 |t Library of Congress classification  |a QA278 .T53 2002  |l JCL  |c JCL-Sci  |e DOED  |e CRERAR  |b 60868624  |i 7331992 
Gift of the Clinton M. and Dorothy R. Doede Book Fund bookplate
The John Crerar Library bookplate

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