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Discrete Multivariate Analysis

Theory and Practice
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9780387728063
Veröffentl:
2007
Seiten:
559
Autor:
Yvonne M. Bishop
Serie:
Springer
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:

"A welcome addition to multivariate analysis. The discussion is lucid and very leisurely, excellently illustrated with applications drawn from a wide variety of fields. A good part of the book can be understood without very specialized statistical knowledge. It is a most welcome contribution to an interesting and lively subject." -- Nature
"The scientist searching for structure in large systems of data finds inspiration in his own discipline, support from modern computing, and guidance from statistical models. Because large sets of data are likely to be complicated, and because so many approaches suggest themselves, a codification of techniques of analysis, regarded as attractive paths rather than as straitjackets, offers the scientist valuable directions to try. The literature on discrete multivariate analysis, although extensive, is widely scattered. This book brings that literature together in an organized way. TOC:Introduction.- Structural models for counted data.- Maximum likelihood estimates for complete tables.- Formal goodness of fit: Summary statistics and model selection.- Maximum likelihood estimation for incomplete tables.- Estimating the size of a closed population.- Models for measuring change.- Analysis of square tables: Symmetry and marginal homogeneity.- Model selection and assessing closeness of fit: Practical aspects.- Other methods for estimation and testing in cross-classifications.- Measures of association and agreement.- Pseudo-Bayes estimates of cell probabilites.- Sampling models for discrete data.- Asymptotic methods."
Structural Models For Counted Data.- Maximum Likelihood Estimates For Complete Tables.- Formal Goodness Of Fit: Summary Statistics And Model Selection.- Maximum Likelihood Estimation For Incomplete Tables.- Estimating The Size Of A Closed Population.- Models For Measuring Change.- Analysis Of Square Tables: Symmetry And Marginal Homogeneity.- Model Selection And Assessing Closeness Of Fit: Practical Aspects.- Other Methods For Estimation And Testing In Cross-Classifications.- Measures Of Association And Agreement.- Pseudo-Bayes Estimates Of Cell Probabilities.- Sampling Models For Discrete Data.- Asymptotic Methods.

'A welcome addition to multivariate analysis. The discussion is lucid and very leisurely, excellently illustrated with applications drawn from a wide variety of fields. A good part of the book can be understood without very specialized statistical knowledge. It is a most welcome contribution to an interesting and lively subject.' -- Nature

Originally published in 1974, this book is a reprint of a classic, still-valuable text.

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