Yvonne M. Bishop, Stephen E. Fienberg, Paul W. Holland

Discrete Multivariate Analysis

Theory and Practice
Mitarbeit:Light, R.J.; Mosteller, F.

• Broschiertes Buch

Produktbeschreibung

"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.

Produktdetails

• Verlag: Springer / Springer New York / Springer, Berlin
• Artikelnr. des Verlages: 12049448, 978-0-387-72805-6
• 2007 edition
• Seitenzahl: 559
• Erscheinungstermin: 30. Juli 2007
• Englisch
• Abmessung: 234mm x 156mm x 29mm
• Gewicht: 868g
• ISBN-13: 9780387728056
• ISBN-10: 0387728058
• Artikelnr.: 22924210

Autorenporträt

Yvonne M. Bishop, Washington, DC, USA / Stephen Fienberg, Carnegie Mellon University, Pittsburgh, PA, USA / Paul W. Holland, Educational Testing Service, Princeton, NJ, USA

Inhaltsangabe

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.

Rezensionen

From the reviews:

"The book deals with discrete multivariate analysis in an effort to bring together in an organised way the extensive theory and practice existing in this field. It is organised in 14 chapters. ... is well addressed to readers from different background and different interests covering a wide range from graduate students in theoretical statistics to quantitative biological or social scientists, applied statisticians and other quantitative research workers looking for comprehensive analyses of discrete multivariate data." (Christina Diakaki, Zentralblatt MATH, Vol. 1131 (9), 2008)