参数脆弱性模型中的Lasso估计

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES Pub Date : 2023-01-01 DOI:10.47974/jios-1291

Anu Sirohi, Prem Shenkar Jha

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引用次数: 0

摘要

提出了参数脆性模型中的lasso估计。lasso(最小绝对收缩和选择算子)和最大似然(ML)估计器在标量均方误差(MSE)方面进行了比较。通过仿真研究验证了套索估计器的性能。此外，还应用该方法分析了印度的婴儿死亡率。

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Lasso estimation in parametric frailty model

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.

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JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES INFORMATION SCIENCE & LIBRARY SCIENCE-

自引率

21.40%

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