LEADER 04537nam 2200613 a 450 001 9910139200103321 005 20170809152728.0 010 $a1-282-25338-7 010 $a9786613814036 010 $a1-118-03267-5 010 $a1-118-03092-3 035 $a(CKB)2560000000051735 035 $a(EBL)694658 035 $a(OCoLC)705353436 035 $a(SSID)ssj0000485880 035 $a(PQKBManifestationID)11351771 035 $a(PQKBTitleCode)TC0000485880 035 $a(PQKBWorkID)10423527 035 $a(PQKB)11289667 035 $a(MiAaPQ)EBC694658 035 $a(EXLCZ)992560000000051735 100 $a19960725d1997 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMethods for statistical data analysis of multivariate observations$b[electronic resource] /$fR. Gnanadesikan 205 $a2nd ed. 210 $aNew York $cWiley$d1997 215 $a1 online resource (386 p.) 225 1 $aWiley series in probability and statistics 300 $a"A Wiley-Interscience publication." 311 $a0-471-16119-5 320 $aIncludes bibliographical references (p. 319-331) and indexes. 327 $aMethods for Statistical Data Analysis of Multivariate Observations, Second Edition; Contents; Preface to the Second Edition; Preface to the First Edition; 1. Introduction; 2. Reduction of Dimensionality; 2.1. General; 2.2. Linear Reduction Techniques; 2.2.1. Principal Components Analysis; 2.2.2. Factor Analysis; 2.3. Nonmetric Methods for Nonlinear Reduction of Dimensionality; 2.4. Nonlinear Singularities and Generalized Principal Components Analysis; 2.4.1. Nonlinear Singularities; 2.4.2. Generalized Principal Components Analysis; References 327 $a3. Development and Study of Multivariate Dependencies3.1. General; 3.2. Internal Dependencies; 3.3. External Dependencies; References; 4. Multidimensional Classification and Clustering; 4.1. General; 4.2. Classification; 4.2.1. Distance Measures; 4.2.2. Classification Strategies for Large Numbers of Groups; 4.2.3. Classification in the Presence of Possible Systematic Changes among Replications; 4.3. Clustering; 4.3.1. Inputs; 4.3.2. Clustering Algorithms; 4.3.2a. Hierarchical Clustering Procedures; 4.3.2b. Nonhierarchical Clustering Procedures; 4.3.3. Outputs; References 327 $a5. Assessment of Specific Aspects of Multivariate Statistical Models5.1. General; 5.2. Estimation and Tests of Hypotheses; 5.2.1. Location and Regression Parameters; 5.2.2. Dispersion Parameters; 5.2.3. Robust Estimation of Location and Dispersion; 5.3. Data-Based Transformations; 5.4. Assessment of Distributional Properties; 5.4.1. Methods for Evaluating Similarity, of Marginal Distributions; 5.4.2. Methods for Assessing Normality; 5.4.3. Elliptical Distributions; References; 6. Summarization and Exposure; 6.1. General; 6.2. Study of an Unstructured Multiresponse Sample 327 $a6.3. Comparison of Several Multiresponse Samples6.3.1. Graphical Internal Comparisons among Single-Degree-of-Freedom Contrast Vectors; 6.3.2. Graphical Internal Comparisons among Equal-Degree-of-Freedom Groupings; 6.4. Multidimensional Residuals and Methods for Detecting Multivariate Outliers; 6.4.1. Analysis of Multidimensional Residuals; 6.4.2. Other Methods for Detecting Multivariate Outliers; References; References; Appendix Software; Author Index; Subject Index 330 $aA practical guide for multivariate statistical techniques-- now updated and revisedIn recent years, innovations in computer technology and statistical methodologies have dramatically altered the landscape of multivariate data analysis. This new edition of Methods for Statistical Data Analysis of Multivariate Observations explores current multivariate concepts and techniques while retaining the same practical focus of its predecessor. It integrates methods and data-based interpretations relevant to multivariate analysis in a way that addresses real-world problems arising in many areas o 410 0$aWiley series in probability and statistics. 606 $aMultivariate analysis 608 $aElectronic books. 615 0$aMultivariate analysis. 676 $a519.5/35 676 $a519.535 700 $aGnanadesikan$b Ram$f1932-$012481 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139200103321 996 $aMethods for Statistical Data Analysis of Multivariate Observations$9119541 997 $aUNINA