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Statistical Programming in SAS
book

Statistical Programming in SAS

by John Bailer
April 2015
Intermediate to advanced content levelIntermediate to advanced
460 pages
14h 45m
English
SAS Institute
Content preview from Statistical Programming in SAS
156 Statistical Programming in SAS
5.1 Overview of Modeling
SAS provides many regression procedures. These include procedures for constructing
linear models for normally distributed responses (e.g., REG, GLM, and MIXED), non-
normal regression models (e.g., GENMOD, LOGISTIC, COUNTREG, and GLIMIX),
nonlinear regression models (e.g., NLIN and NLMIXED), failure time models (e.g.,
LIFEREG and PHREG), and other regression methods (e.g., LOESS, ROBUSTREG,
QUANTREG, and TRANSREG). Other procedures address problems in the analysis of
time series data (e.g., TSCSREG or ARIMA) or structural equations (e.g., CALIS). Some
general modeling procedures ...
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Publisher Resources

ISBN: 9781607645047