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Applied Multivariate Analysis

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ISBN-10: 0387953477

ISBN-13: 9780387953472

Edition: 2002

Authors: Neil H. Timm

List price: $139.99
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Description:

'Applied Multivariate Analysis'provides a broad overview of the basic theory and methods and integrates theory and practice including the analysis of formal linear multivariate models and exploratory data analysis techniques.
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Book details

List price: $139.99
Copyright year: 2002
Publisher: Springer New York
Publication date: 6/19/2002
Binding: Hardcover
Pages: 695
Size: 7.01" wide x 10.00" long x 1.50" tall
Weight: 7.678
Language: English

Preface
Acknowledgments
List of Tables
List of Figures
Introduction
Vectors and Matrices
Introduction
Vectors, Vector Spaces, and Vector Subspaces
Bases, Vector Norms, and the Algebra of Vector Spaces
Basic Matrix Operations
Rank, Inverse, and Determinant
Systems of Equations, Transformations, and Quadratic Forms
Limits and Asymptotics
Multivariate Distributions and the Linear Model
Introduction
Random Vectors and Matrices
The Multivariate Normal (MVN) Distribution
The Chi-Square and Wishart Distributions
Other Multivariate Distributions
The General Linear Model
Evaluating Normality
Tests of Covariance Matrices
Tests of Location
Univariate Profile Analysis
Power Calculations
Multivariate Regression Models
Introduction
Multivariate Regression
Multivariate Regression Example
One-Way MANOVA and MANCOVA
One-Way MANOVA/MANCOVA Examples
MANOVA/MANCOVA with Unequal [Sigma][subscript i] or Nonnormal Data
One-Way MANOVA with Unequal [Sigma][subscript i] Example
Two-Way MANOVA/MANCOVA
Two-Way MANOVA/MANCOVA Example
Nonorthogonal Two-Way MANOVA Designs
Unbalance, Nonorthogonal Designs Example
Higher Ordered Fixed Effect, Nested and Other Designs
Complex Design Examples
Repeated Measurement Designs
Repeated Measurements and Extended Linear Hypotheses Example
Robustness and Power Analysis for MR Models
Power Calculations - Power.sas
Testing for Mean Differences with Unequal Covariance Matrices
Seemingly Unrelated Regression Models
Introduction
The SUR Model
Seeming Unrelated Regression Example
The CGMANOVA Model
CGMANOVA Example
The GMANOVA Model
GMANOVA Example
Tests of Nonadditivity
Testing for Nonadditivity Example
Lack of Fit Test
Sum of Profile Designs
The Multivariate SUR (MSUR) Model
Sum of Profile Example
Testing Model Specification in SUR Models
Miscellanea
Multivariate Random and Mixed Models
Introduction
Random Coefficient Regression Models
Univariate General Linear Mixed Models
Mixed Model Examples
Mixed Multivariate Models
Balanced Mixed Multivariate Models Examples
Double Multivariate Model (DMM)
Double Multivariate Model Examples
Multivariate Hierarchical Linear Models
Tests of Means with Unequal Covariance Matrices
Discriminant and Classification Analysis
Introduction
Two Group Discrimination and Classification
Two Group Discriminant Analysis Example
Multiple Group Discrimination and Classification
Multiple Group Discriminant Analysis Example
Principal Component, Canonical Correlation, and Exploratory Factor Analysis
Introduction
Principal Component Analysis
Principal Component Analysis Examples
Statistical Tests in Principal Component Analysis
Regression on Principal Components
Multivariate Regression on Principal Components Example
Canonical Correlation Analysis
Canonical Correlation Analysis Examples
Exploratory Factor Analysis
Exploratory Factor Analysis Examples
Cluster Analysis and Multidimensional Scaling
Introduction
Proximity Measures
Cluster Analysis
Cluster Analysis Examples
Multidimensional Scaling
Multidimensional Scaling Examples
Structural Equation Models
Introduction
Path Diagrams, Basic Notation, and the General Approach
Confirmatory Factor Analysis
Confirmatory Factor Analysis Examples
Path Analysis
Path Analysis Examples
Structural Equations with Manifest and Latent Variables
Structural Equations with Manifest and Latent Variables Example
Longitudinal Analysis with Latent Variables
Exogeniety in Structural Equation Models
Appendix
References
Author Index
Subject Index