Panik, M. (2009): Regression Modeling - Methods, Theory, and Computation with SAS
Panik, M. (2009): Regression Modeling - Methods, Theory, and Computation with SAS
Karsten Webel
2011 · DOI: 10.1007/s00362-011-0368-3
Statistical Papers · 0 Citations
TLDR
This book discusses a vast variety of regression models beyond the classical OLS based linear approach, including semiand non-parametric regression, logistic and Poisson regression, Bayesian regression, robust regression, fuzzy regression, fuzzy regression, random coefficients regression, L1and quantile regression, ridge regression, nonlinear regression, regression in the spatial domain as well as time series regression.
