Abstract
A Gamma distributed response is subjected to regression penalized likelihood estimations of Least Absolute Shrinkage and Selection Operator (LASSO) and Minimax Concave Penalty via Generalized Linear Models (GLMs). The Gamma related disturbance controls the influence of skewness and spread in the corrected path solutions of the regression coefficients.
DOI
10.22237/jmasm/1608552720
Recommended Citation
Olanrewaju, R. O. (2020). Penalized Likelihood Estimation of Gamma Distributed Response Variable via Corrected Solution of Regression Coefficients. Journal of Modern Applied Statistical Methods, 19(1), eP2891. https://doi.org/10.22237/jmasm/1608552720
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