MARC Record from harvard_bibliographic_metadata

LEADER: 02676cam a22003494a 4500
001 013673319-0
005 20130826134347.0
008 120417s2013 njua b 001 0 eng
010 $a 2012009792
020 $a9780470463635 (hardback)
035 0 $aocn786161547
040 $aDLC$cDLC$dDLC
042 $apcc
050 00 $aQA278$b.A353 2013
082 00 $a519.5/35$223
084 $aMAT029000$2bisacsh
100 1 $aAgresti, Alan.
245 10 $aCategorical data analysis /$cAlan Agresti.
250 $a3rd ed.
260 $aHoboken, NJ :$bWiley,$cc2013.
300 $axvi, 714 p. :$bill. ;$c27 cm.
490 1 $aWiley series in probability and statistics ;$v792
520 $a"A classic in its own right, this book continues to provide an introduction to modern generalized linear models for categorical variables. The text emphasizes methods that are most commonly used in practical application, such as classical inferences for two- and three-way contingency tables, logistic regression, loglinear models, models for multinomial (nominal and ordinal) responses, and methods for repeated measurement and other forms of clustered, correlated response data. Chapter headings remain essentially with the exception of a new one on Bayesian inference for parametric models. Other major changes include an expansion of clustered data, new research on analysis of data sets with robust variables, extensive discussions of ordinal data, more on interpretation, and additional exercises throughout the book. R and SAS are now showcased as the software of choice. An author web site with solutions, commentaries, software programs, and data sets is available"--$cProvided by publisher.
504 $aIncludes bibliographical references and index.
505 8 $aMachine generated contents note: Preface 1. Introduction: Distributions and Inference for Categorical Data 1 1.1 Categorical Response Data, 1 1.2 Distributions for Categorical Data 1.3 Statistical Inference for Categorical Data 1.4 Statistical Inference for Binomial Parameters 1.5 Statistical Inference for Multinomial Parameters 1.6 Bayesian Inference for Binomial and Multinomial Parameters Notes Exercises 2. Describing Contingency Tables 2.1 Probability Structure for Contingency Tables 2.2 Comparing Two Proportions 2.3 Conditional Association in Stratified 2x2 Tables 2.4 Measuring Association in I x J Tables Notes Exercises 3.
650 0 $aMultivariate analysis.
650 7 $aMATHEMATICS / Probability & Statistics / General.$2bisacsh
650 12 $aMultivariate Analysis.
830 0 $aWiley series in probability and statistics ;$v792.
899 $a415_565874
988 $a20130502
906 $0DLC