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Discrete multivariate analysis: theory and practice

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.

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  • "Discrete multivariate analysis: theory and practice"

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  • """At last, after a decade of mounting interest in log-linear and related models for the analysis of discrete multivariate data, particularly in the form of multidimensional tables, we now have a comprehensive text and general reference on the subject. Even a mediocre attempt to organize the extensive and widely scattered literature on discrete multivariate analysis would be welcome; happily, this is an excellent such effort, but a group of Harvard statisticians taht has contributed much to the field. Their book ought to serve as a basic guide to the analysis of quantitative data for years to come." --James R. Beninger, Contemporary Sociology "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." --D.R. Cox, Nature "Discrete Multivariate Analysis is an ambitious attempt to present log-linear models to a broad audience. Exposition is quite discursive, and the mathematical level, except in Chapters 12 and 14, is very elementary. To illustrate possible applications, some 60 different sets of data have been gathered together from diverse fields. To aid the reader, an index of these examples has been provided. ...the book contains a wealth of material on important topics. Its numerous examples are especially valuable." --Shelby J. Haberman, The Annals of Statistics" -- Font no determinada."
  • "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 discrett 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."
  • "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."
  • "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."@en

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  • "Electronic books"
  • "Electronic books"@en
  • "Online-Publikation"
  • "Llibres electrònics"

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  • "Discrete multivariate analysis : theory and Practice"
  • "Discrete multivariate analysis: theory and practice"@en
  • "Discrete multivariate analysis: theory and practice"
  • "Discrete multivariate analysis : theory and practice : Yvonne M.M. Bishop, Stephen E. Fienberg and Paul W. Holland"@en
  • "Discrete multivariate analysis theory and practice"@en
  • "Discrete multivariate analysis theory and practice"
  • "Discrete multivariate analysis : theory and practice; [theory and applications]"
  • "Discrete multivariate analysis theory and applications"
  • "Discrete multivariate analysis : Theory and practice. With the collabor. of Richard J. Light and Frederick Mosteller"
  • "Discrete multivariate analysis theory and practice. with the collaboration of richard J.Light and frederick mosteller"
  • "Discrete Multivariate Analysis Theory and Practice"
  • "Discrete Multivariate Analysis Theory and Practice"@en
  • "Discrete multivariate analysis. Theory and practice"
  • "Discrete multivariate analysis"@en
  • "Discrete multivariate analysis"
  • "Discrete multivariate analysis : Theory and practice"
  • "Discrete multivariate analysis : theory and practice"
  • "Discrete multivariate analysis : theory and practice"@en
  • "Discrete Multivariate Analysis Theory and Practice Theory and Practice"
  • "Discrete multivariate analysis; theory and practice"

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