CRAI - Universidad del Rosario Koha › Detalles de: Statistical methods for categorical data analysis

Statistical methods for categorical data analysis

por Powers, Daniel A.

Autores adicionales: Xie, Yu, -- 1959-

Declaración de edición:2nd ed Publicado por : Emerald (Bingley (Yorkshire, Inglaterra)) Detalles físicos: xvii, 317 páginas ilustraciones, gráficas ISBN:9780123725622; 0123725623.

Tema(s): Análisis estadístico multivariable | Estadística matemática | Ciencias sociales -- Métodos estadisticos | Matemáticas

Año : 2008

Existencias ( 2 )
Notas de título ( 4 )

Tipo de ítem	Ubicación actual	Colección	Signatura	Info Vol	Copia número	Estado	Fecha de vencimiento	Código de barras	Reserva de ítems
Libro	Claustro 2do piso	Libro	519.535 S797me (Navegar estantería)	2a.Ed.	Ej.1	Disponible		100148800
Libro	Claustro 2do piso	Libro	519.535 S797me (Navegar estantería)	2a.Ed.	Ej.2	Disponible		100148920

Total de reservas: 0

Incluye referencias bibliográficas e índices

Review of linear regression models -- Models for binary data -- Loglinear models for contingency tables -- Multilevel models for binary data -- Statistical models for event occurrence -- Models for ordinal dependent variables -- Models for nominal dependent variables.

"Statistical Methods for Categorical Data Analysis by Daniel A. Powers and Yu Xie provides a comprehensive introduction to methods and models for categorical data analysis and their applications in social science research. An explicit aim of the book is to integrate the transformational and the latent variable approach, two diverse but complementary traditions dealing with the analysis of categorical data. This is the first introductory text to cover models and methods for discrete dependent variables, cross-classifications, and longitudinal data in a rigorous, yet accessible, manner in a single volume." "This book presents the essential methods and models that form the core of contemporary social statistics. The book covers a remarkable range of models that have applications in sociology, demography, psychometrics, econometrics, political science, biostatistics, and other fields. It will be especially useful as a graduate textbook for students in advanced social statistics courses and as a reference book for applied researchers."--Jacket.

Texto en ingles