journal-of-information-and-optimization-sciences Journal of Information and Optimization Sciences 2169-0103 0252-2667 Taru Publications 10.47974/JIOS-1291 Lasso estimation in parametric frailty model Sirohi Anu Department of Mathematics, Greater Noida 201310, Sharda University, India Jha Pram Shankar Department of Statistics, Patna College, Bihar 800005, Patna University, India 44 1 1 8 31 12 2022

This paper proposed lasso estimator in parametric frailty model. Comparison of lasso (least absolute shrinkage and selection operator) and maximum likelihood (ML) estimator is done in terms of scalar mean square error (MSE). Performance of lasso estimator is examined through simulation study. Furthermore, approach is applied to analyze infant mortality in India.

 Frailty model Collinearity Maximum likelihood estimator Lasso Child mortality access open retracted no