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Regression Modeling: Methods, Theory, and Computation with SAS
Paperback
ApplicationsProbability & Statistics
ISBN13: 9780367385675
Publisher: CRC Press
Published: Oct 7 2019
Pages: 830
Weight: 3.05
Height: 1.80 Width: 7.00 Depth: 9.90
Language: English
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.
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