recent advances descriptive multivariate (6 Ergebnisse)

Zustand: Good. Light wear to boards with light scuffing. Content is clean and bright with foxing on the top outer edge pages. No DJ.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780198522850.

Cloth/Laminated Boards. Zustand: Very Good. Type: Book N.B. Damage stamp to title page. Small label to front paste down. Head and tail of spine a little bumped. Small mark to front board where label has been removed.

1st edition. Fine copy in the original colour-printed boards. Remains particularly well-preserved overall; tight, bright, clean and strong. Physical description; 362 pp.: illustrations ; 25 cm. Contents; 1. Clustering from the perspective of combinatorial data analysis / P. Arabie and L.J. Hubert -- 2. Developments in principal component analysis / B.D. Flury -- 3. Canonical discriminant analysis: comparison of resampling methods and convex-hull approximation / C. Weihs -- 4. Nonlinear methods for the analysis of homogeneity and heterogeneity / W.J. Heiser and J.J. Meulman -- 5. Principal component models for patterned covariance matrices, with applications to canonical correlation analysis of several sets of variables / B.D. Flury and B.E. Neuenschwander -- 6. Orthogonal and projection Procrustes analysis / J.C. Gower -- 7. Graphical modelling / D. Edwards -- 8. Convergent computation by iterative majorization: theory and applications in multidimensional data analysis / W.J. Heiser -- 9. Biplot display of multivariate categorical data, with comments on multiple correspondence analysis / K.R. Gabriel -- 10. MANOVA biplots for two-way contingency tables / K.R. Gabriel.11. Some tools for the multivariate analysis of functional data / J.O. Ramsay -- 12. A general theory of biplots / J.C. Gower. Subjects; Multivariate analysis. Congresses. Statistics. Mathematics. 1 Kg.

Zustand: Gut. Zustand: Gut | Seiten: 376 | Sprache: Englisch | Produktart: Bücher | This book provides a state of the art summary on the general theme of descriptive multivariate analysis. It consists of a collection of commissioned, edited articles by an international group of leading researchers: Phipps Arabie (Rutgers University) writes on "Clustering from the Perspectiveof Combinatorial Data Analysis." Bernard Flury (Indiana University) includes some highly novel and previously unpublished work in "Principal Component Models for Patterned Covariance Matrices." David Edwards' (University of Novi Nordisk, Denmark) "Graphical Modelling" and the chapter on"Convergent Computation" provide thorough and useful surveys of recent research not available in other texts on multivariate analysis. Other contributions include James Ramsay (McGill University, Montreal); Clause Wiehs (CIBA-GEIGY, Bosle); Willen Heiser (University of Leiden); and Ruben Gabriel(University of Rochester, New York). The material should provide a useful reference for graduate students and researchers.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 376 | Sprache: Englisch | Produktart: Bücher | This book provides a state of the art summary on the general theme of descriptive multivariate analysis. It consists of a collection of commissioned, edited articles by an international group of leading researchers: Phipps Arabie (Rutgers University) writes on "Clustering from the Perspectiveof Combinatorial Data Analysis." Bernard Flury (Indiana University) includes some highly novel and previously unpublished work in "Principal Component Models for Patterned Covariance Matrices." David Edwards' (University of Novi Nordisk, Denmark) "Graphical Modelling" and the chapter on"Convergent Computation" provide thorough and useful surveys of recent research not available in other texts on multivariate analysis. Other contributions include James Ramsay (McGill University, Montreal); Clause Wiehs (CIBA-GEIGY, Bosle); Willen Heiser (University of Leiden); and Ruben Gabriel(University of Rochester, New York). The material should provide a useful reference for graduate students and researchers.