Statistical science's first coordinated manual of methods for analyzing ordered categorical data presents applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data provides an introduction to basic descriptive and inferential methods for categorical data and gives thorough coverage of late developments. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available strategies for analyzing ordinal data. The book also discusses implementation of methods using computer packages such as SAS, SPSSx, and GLIM.
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About the author Alan Agresti is an associate professor in the Department of Statistics at the University of Florida. Since receiving his PhD at the University of Wisconsin in 1972, he has published in many professional journals, including Journal of the American Statistical Association, Journal of the Royal Statistical Society, Biometrics, Journal of Applied Probability, Psychometrika, and Sociological Methodology. He is author of the text Statistical Methods for the Social Sciences and is an associate editor of The American Statistician.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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