04537nam 2200613 a 450 991013920010332120170809152728.01-282-25338-797866138140361-118-03267-51-118-03092-3(CKB)2560000000051735(EBL)694658(OCoLC)705353436(SSID)ssj0000485880(PQKBManifestationID)11351771(PQKBTitleCode)TC0000485880(PQKBWorkID)10423527(PQKB)11289667(MiAaPQ)EBC694658(EXLCZ)99256000000005173519960725d1997 uy 0engur|n|---|||||txtccrMethods for statistical data analysis of multivariate observations[electronic resource] /R. Gnanadesikan2nd ed.New York Wiley19971 online resource (386 p.)Wiley series in probability and statistics"A Wiley-Interscience publication."0-471-16119-5 Includes bibliographical references (p. 319-331) and indexes.Methods 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; References3. 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; References5. 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 Sample6.3. 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 IndexA 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 oWiley series in probability and statistics.Multivariate analysisElectronic books.Multivariate analysis.519.5/35519.535Gnanadesikan Ram1932-12481MiAaPQMiAaPQMiAaPQBOOK9910139200103321Methods for Statistical Data Analysis of Multivariate Observations119541UNINA