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catalog contributor b12895564.
catalog contributor b12895565.
catalog created "2001.".
catalog date "2001".
catalog date "2001.".
catalog dateCopyrighted "2001.".
catalog description "1 Multivariate data and multivariate statistics 1 -- 1.2 Types of data 2 -- 1.3 Basic multivariate statistics 4 -- 1.4 Aims of multivariate analysis 6 -- 2 Exploring multivariate data graphically 9 -- 2.2 Scatterplot 9 -- 2.3 Scatterplot matrix 15 -- 2.4 Enhancing the scatterplot 17 -- 2.5 Coplots and trellis graphics 26 -- 2.6 Checking distributional assumptions using probability plots 41 -- 3 Principal components analysis 48 -- 3.2 Algebraic basics of principal components 49 -- 3.3 Rescaling principal components 52 -- 3.4 Calculating principal component scores 53 -- 3.5 Choosing the number of components 53 -- 3.6 Two simple examples of principal components analysis 54 -- 3.7 More complex examples of the application of principal components analysis 56 -- 3.8 Using principal components analysis to select a subset of variables 63 -- 3.9 Using the last few principal components".
catalog description "148 -- 7 Generalized linear model 161 -- 7.1 Linear models 161 -- 7.2 Non-linear models 165 -- 7.3 Link functions and error distributions in the generalized linear model 168 -- 8 Regression and the analysis of variance 173 -- 8.2 Least-squares estimation for regression and analysis of variance models 173 -- 8.3 Direct and indirect effects 190 -- 9 Log-linear and logistic models for categorical multivariate data 198 -- 9.2 Maximum likelihood estimation for log-linear and linear-logistic models 199 -- 9.3 Transition models for repeated binary response measures 212 -- 10 Models for multivariate response variables 218 -- 10.2 Repeated quantitative measures 218 -- 10.3 Multivariate tests 222 -- 10.4 Random effects models for longitudinal data 224 -- 10.5 Logistic models for multivariate binary responses 237 -- 10.6 Marginal models for repeated binary response measures 240 -- 10.7".
catalog description "65 -- 3.10 Biplot 65 -- 3.11 Geometrical interpretation of principal components analysis 69 -- 3.12 Projection pursuit 69 -- 4 Correspondence analysis 74 -- 4.2 A simple example of correspondence analysis 75 -- 4.3 Correspondence analysis for two-dimensional contingency tables 78 -- 4.4 Three applications of correspondence analysis 80 -- 4.5 Multiple correspondence analysis 84 -- 5 Multidimensional scaling 93 -- 5.2 Proximity matrices and examples of multidimensional scaling 94 -- 5.4 Metric least-squares multidimensional scaling 104 -- 5.5 Non-metric multidimensional scaling 107 -- 5.6 Non-Euclidean metrics 113 -- 5.7 Three-way multidimensional scaling 114 -- 5.8 Inference in multidimensional scaling 119 -- 6 Cluster analysis 125 -- 6.2 Agglomerative hierarchical clustering techniques 128 -- 6.3 Optimization methods 142 -- 6.4 Finite mixture models for cluster analysis".
catalog description "Estimating factor scores 283 -- 12.7 Factor analysis with categorical variables 284 -- 12.8 Factor analysis and principal components analysis compared 287 -- 13 Confirmatory factor analysis and covariance structure models 291 -- 13.2 Path analysis and path diagrams 292 -- 13.3 Estimation of the parameters in structural equation models 295 -- 13.4 A simple covariance structure model and identification 295 -- 13.5 Assessing the fit of a model 297 -- 13.6 Some examples of fitting confirmatory factor analysis models 298 -- 13.7 Structural equation models 302 -- 13.8 Causal models and latent variables: myths and realities 304 -- A Software packages 308 -- A.1 General-purpose packages 308 -- A.2 More specialized packages 309 -- B Missing values 311.".
catalog description "Includes bibliographical references (p. [324]-335) and index.".
catalog description "Marginal modelling using generalized estimating equations 242 -- 10.8 Random effects models for multivariate repeated binary response measures 244 -- 11 Discrimination, classification and pattern recognition 248 -- 11.3 Some examples of allocation rules 250 -- 11.4 Fisher's linear discriminant function 253 -- 11.5 Assessing the performance of a discriminant function 254 -- 11.6 Quadratic discriminant functions 255 -- 11.7 More than two groups 257 -- 11.8 Logistic discrimination 260 -- 11.9 Selecting variables 262 -- 11.10 Other methods for deriving classification rules 263 -- 11.11 Pattern recognition and neural networks 264 -- 12 Exploratory factor analysis 271 -- 12.2 Basic factor analysis model 272 -- 12.3 Estimating the parameters in the factor analysis model 274 -- 12.4 Rotation of factors 278 -- 12.5 Some examples of the application of factor analysis 280 -- 12.6".
catalog extent "x, 342 p. :".
catalog identifier "0340741228 (pb)".
catalog issued "2001".
catalog issued "2001.".
catalog language "eng".
catalog publisher "London : Arnold ; New York : Oxford University Press,".
catalog subject "519.5/35 21".
catalog subject "Multivariate analysis.".
catalog subject "QA278 .E88 2001".
catalog tableOfContents "1 Multivariate data and multivariate statistics 1 -- 1.2 Types of data 2 -- 1.3 Basic multivariate statistics 4 -- 1.4 Aims of multivariate analysis 6 -- 2 Exploring multivariate data graphically 9 -- 2.2 Scatterplot 9 -- 2.3 Scatterplot matrix 15 -- 2.4 Enhancing the scatterplot 17 -- 2.5 Coplots and trellis graphics 26 -- 2.6 Checking distributional assumptions using probability plots 41 -- 3 Principal components analysis 48 -- 3.2 Algebraic basics of principal components 49 -- 3.3 Rescaling principal components 52 -- 3.4 Calculating principal component scores 53 -- 3.5 Choosing the number of components 53 -- 3.6 Two simple examples of principal components analysis 54 -- 3.7 More complex examples of the application of principal components analysis 56 -- 3.8 Using principal components analysis to select a subset of variables 63 -- 3.9 Using the last few principal components".
catalog tableOfContents "148 -- 7 Generalized linear model 161 -- 7.1 Linear models 161 -- 7.2 Non-linear models 165 -- 7.3 Link functions and error distributions in the generalized linear model 168 -- 8 Regression and the analysis of variance 173 -- 8.2 Least-squares estimation for regression and analysis of variance models 173 -- 8.3 Direct and indirect effects 190 -- 9 Log-linear and logistic models for categorical multivariate data 198 -- 9.2 Maximum likelihood estimation for log-linear and linear-logistic models 199 -- 9.3 Transition models for repeated binary response measures 212 -- 10 Models for multivariate response variables 218 -- 10.2 Repeated quantitative measures 218 -- 10.3 Multivariate tests 222 -- 10.4 Random effects models for longitudinal data 224 -- 10.5 Logistic models for multivariate binary responses 237 -- 10.6 Marginal models for repeated binary response measures 240 -- 10.7".
catalog tableOfContents "65 -- 3.10 Biplot 65 -- 3.11 Geometrical interpretation of principal components analysis 69 -- 3.12 Projection pursuit 69 -- 4 Correspondence analysis 74 -- 4.2 A simple example of correspondence analysis 75 -- 4.3 Correspondence analysis for two-dimensional contingency tables 78 -- 4.4 Three applications of correspondence analysis 80 -- 4.5 Multiple correspondence analysis 84 -- 5 Multidimensional scaling 93 -- 5.2 Proximity matrices and examples of multidimensional scaling 94 -- 5.4 Metric least-squares multidimensional scaling 104 -- 5.5 Non-metric multidimensional scaling 107 -- 5.6 Non-Euclidean metrics 113 -- 5.7 Three-way multidimensional scaling 114 -- 5.8 Inference in multidimensional scaling 119 -- 6 Cluster analysis 125 -- 6.2 Agglomerative hierarchical clustering techniques 128 -- 6.3 Optimization methods 142 -- 6.4 Finite mixture models for cluster analysis".
catalog tableOfContents "Estimating factor scores 283 -- 12.7 Factor analysis with categorical variables 284 -- 12.8 Factor analysis and principal components analysis compared 287 -- 13 Confirmatory factor analysis and covariance structure models 291 -- 13.2 Path analysis and path diagrams 292 -- 13.3 Estimation of the parameters in structural equation models 295 -- 13.4 A simple covariance structure model and identification 295 -- 13.5 Assessing the fit of a model 297 -- 13.6 Some examples of fitting confirmatory factor analysis models 298 -- 13.7 Structural equation models 302 -- 13.8 Causal models and latent variables: myths and realities 304 -- A Software packages 308 -- A.1 General-purpose packages 308 -- A.2 More specialized packages 309 -- B Missing values 311.".
catalog tableOfContents "Marginal modelling using generalized estimating equations 242 -- 10.8 Random effects models for multivariate repeated binary response measures 244 -- 11 Discrimination, classification and pattern recognition 248 -- 11.3 Some examples of allocation rules 250 -- 11.4 Fisher's linear discriminant function 253 -- 11.5 Assessing the performance of a discriminant function 254 -- 11.6 Quadratic discriminant functions 255 -- 11.7 More than two groups 257 -- 11.8 Logistic discrimination 260 -- 11.9 Selecting variables 262 -- 11.10 Other methods for deriving classification rules 263 -- 11.11 Pattern recognition and neural networks 264 -- 12 Exploratory factor analysis 271 -- 12.2 Basic factor analysis model 272 -- 12.3 Estimating the parameters in the factor analysis model 274 -- 12.4 Rotation of factors 278 -- 12.5 Some examples of the application of factor analysis 280 -- 12.6".
catalog title "Applied multivariate data analysis / Brian S. Everitt and Graham Dunn.".
catalog type "text".