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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.