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Journal of Information and Optimization Sciences

(Since 1980)
Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

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Journal of Information and Optimization Sciences
Open Access Research Article

Lasso estimation in parametric frailty model

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pp. 1–8Vol. 44Issue 1December 2022DOI: 10.47974/JIOS-1291XML
Published Online:
31 Dec 2022
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1291
Pages:
1–8

Abstract

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.

Keywords

Frailty modelCollinearityMaximum likelihood estimatorLassoChild mortality

Subject Classifications

62NXX

References

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