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Regression Modeling: Methods, Theory, and Computation with SAS - Tapa blanda

Panik, Michael

 
9780367385675: Regression Modeling: Methods, Theory, and Computation with SAS
Tapa blanda
ISBN 10: 0367385678 ISBN 13: 9780367385675
Editorial: Taylor & Francis Ltd, 2019

Sinopsis

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output produced by the programs.

The text presents the popular ordinary least squares (OLS) approach before introducing many alternative regression methods. It covers nonparametric regression, logistic regression (including Poisson regression), Bayesian regression, robust regression, fuzzy regression, random coefficients regression, L1 and q-quantile regression, regression in a spatial domain, ridge regression, semiparametric regression, nonlinear least squares, and time-series regression issues. For most of the regression methods, the author includes SAS procedure code, enabling readers to promptly perform their own regression runs.

A Comprehensive, Accessible Source on Regression Methodology and ModelingRequiring only basic knowledge of statistics and calculus, this book discusses how to use regression analysis for decision making and problem solving. It shows readers the power and diversity of regression techniques without overwhelming them with calculations.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Panik, Michael

De la contraportada

Requiring only basic knowledge of statistics and calculus, this comprehensive, accessible text provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output produced by the programs. He explores the well-known methods of OLS and maximum likelihood regression before developing many alternative regression techniques, such as nonparametric, logistic, Bayesian, robust, fuzzy, random coefficients, spatial, polynomial, ridge, semiparametric, and more. The book also covers nonlinear and time series modeling.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Taylor & Francis Ltd
Año de publicación
2019
Idioma
Inglés
ISBN 10 
0367385678
ISBN 13 
9780367385675
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
830
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania