Penalized Likelihood Estimation of Gamma Distributed Response Variable via Corrected Solution of Regression Coefficients
نویسندگان
چکیده
A Gamma distributed response is subjected to regression penalized likelihood estimations of Least Absolute Shrinkage and Selection Operator (LASSO) Minimax Concave Penalty via Generalized Linear Models (GLMs). The related disturbance controls the influence skewness spread in corrected path solutions coefficients.
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ژورنال
عنوان ژورنال: Journal of Modern Applied Statistical Methods
سال: 2021
ISSN: ['1538-9472']
DOI: https://doi.org/10.22237/jmasm/1608552720