Categorical data arise often in many fields, including biometrics, economics, management, Jeffrey S. Simonoff is Professor of Statistics at New York University. Request PDF on ResearchGate | Analyzing Categorical Data | Introduction.- Gaussian-Based Jeffrey S. Simonoff at New York University. Jeffrey S. Simonoff . Download Citation on ResearchGate | On Feb 1, , Stanley Wasserman and others published Analyzing Categorical Data. Jeffrey S. Simonoff }.
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Amazon Advertising Find, attract, and engage customers. The examples are superb. All methods are illustrated with analyses of real data examples, many from recent subject area journal articles. Topics covered include count regression models, such as Poisson, negative binomial, zero-inflated, and zero-truncated models; loglinear models for two-dimensional and multidimensional contingency categoriccal, including for square tables and tables with ordered categories; and regression models for two-category binary and analyzign target variables, such as logistic and proportional odds models.
This book provides an introduction to the analysis of such data.
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Analyzing Categorical Data
Statistics for Ecologists Using R and Excel. Amazon Second Chance Pass it on, trade it in, give it a second life. Exceptional customer service Get specialist help and advice. Topics covered include count regression models, such as Dta, negative binomial, zero-inflated, and zero-truncated models; loglinear models for two-dimensional and multidimensional contingency tables, including for square tables and tables with ordered categorcal and regression models for two-category binary and multiple-category target variables, such as logistic and proportional odds models.
About this book Contents Customer reviews Related titles. Hadi Limited preview – Topics covered include count regression models, such as Poisson, negative binomial, zero-inflated, and zero-truncated models; loglinear anakyzing for two-dimensional and multidimensional contingency tables, including for square tables and tables with ordered categories; cstegorical regression models for two-category binary and multiple-category target variables, such as logistic and proportional odds models.
Angewandte Zeitreihenanalyse mit R. It is of great help to data analysts, practitioners and researchers who deal with categorical data and need to get a necessary insight into the methods of analysis as well as practical guidelines for solving problems.
Analyzing Categorical Data | NHBS Academic & Professional Books
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Data sets and computer code are available at a web site devoted to the text. British Wildlife is the leading natural history magazine in the UK, providing essential reading for both enthusiast and professional naturalists and wildlife conservationists.
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The examples motivate the theory and also illustrate nuances of data analytical procedures. Benton Richard Fortey View All. More than exercises are provided, many also categoical on recent subject area literature.
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