Michael Panik

Regression Modeling (eBook, PDF)

Methods, Theory, and Computation with SAS

• Format: PDF

Produktbeschreibung

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 square

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 830
• Erscheinungstermin: 30. April 2009
• Englisch
• ISBN-13: 9781420091984
• Artikelnr.: 57534250

Autorenporträt

Panik, Michael

Inhaltsangabe

Preface. Review of Fundamentals of Statistics. Bivariate Linear Regression
and Correlation. Misspecified Disturbance Terms. Nonparametric Regression.
Logistic Regression. Bayesian Regression. Robust Regression. Fuzzy
Regression. Random Coefficients Regression. L1 and q-Quantile Regression.
Regression in a Spatial Domain. Multiple Regression. Normal Correlation
Models. Ridge Regression. Indicator Variables. Polynomial Model Estimation.
Semiparametric Regression. Nonlinear Regression. Issues in Time Series
Modeling and Estimation. Appendix. References. Index.