
By Michael Panik
ISBN-10: 1420091972
ISBN-13: 9781420091977
Regression Modeling: tools, concept, and Computation with SAS offers an creation to a various collection of regression innovations utilizing SAS to unravel a wide selection of regression difficulties. the writer absolutely files the SAS courses and punctiliously explains the output produced by means of the programs.
The textual content provides the preferred traditional least squares (OLS) technique ahead of introducing many different regression equipment. It covers nonparametric regression, logistic regression (including Poisson regression), Bayesian regression, powerful regression, fuzzy regression, random coefficients regression, L1 and q-quantile regression, regression in a spatial area, ridge regression, semiparametric regression, nonlinear least squares, and time-series regression matters. for many of the regression equipment, the writer contains SAS technique code, allowing readers to briskly practice their very own regression runs.
A finished, obtainable resource on Regression method and Modeling
Requiring purely simple wisdom of data and calculus, this publication discusses easy methods to use regression research for selection making and challenge fixing. It indicates readers the ability and variety of regression options with out overwhelming them with calculations.
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