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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Analyzing Categorical Data – Jeffrey S. Simonoff – Google Books
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Analyzing Categorical Data
Generalized Linear, Mixed Effects and 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 tables, including for square tables and tables with ordered categories; and regression models for two-category binary and multiple-category target variables, such as logistic and proportional odds models.
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About this book Introduction with broad coverage, using the loglinear Poisson regression model and logistic binomial regression models as the primary engines for methodology.
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This book provides an introduction to the analysis of such data.