Regression Modeling: Methods, Theory, and Computation with SAS

ISBN-13: 9781420091977 / Angielski / Twarda / 2009 / 830 str.

Michael Panick; Michael Panik

Opis

Requiring only basic knowledge of statistics and calculus, this textbook explores the diversity of regression techniques. It first reviews random variables, probability distributions, and classical statistical interference. The book then presents the many varieties of regression analyses.

Spis treści

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.

O autorze

Panik, Michael