Stochastic Comparisons for Finite Mixtures from Location-scale Family of Distributions

Abstract In this study, we consider two finite mixture models (FMMs) with location-scale family distributed components, in which ordering results are established in various stochastic senses. For heterogeneity in one parameter, the comparisons are obtained with respect to usual stochastic order, hazard rate order, reversed hazard rate order and likelihood ratio order. Further, for heterogeneity in two parameters, we derive sufficient conditions for the stochastic comparison of FMMs with respect to usual stochastic order and hazard rate order. Various examples and counterexamples are presented to illustrate the proposed results.

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Publication Details

Journal
Methodology And Computing In Applied Probability
Published
2024-11-08
DOI
https://doi.org/10.1007/s11009-024-10121-x
Citations
3
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
2.13
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article

Stochastic Comparisons for Finite Mixtures from Location-scale Family of Distributions

Suchandan Kayal, Maxim Finkelstein, Raju Bhakta
3 citations
Methodology And Computing In Applied Probability
Statistical Distribution Estimation and Applications
2.13
article

Stochastic Comparisons for Finite Mixtures from Location-scale Family of Distributions

Suchandan Kayal, Maxim Finkelstein, Raju Bhakta
article en
3 citations

Abstract

Abstract In this study, we consider two finite mixture models (FMMs) with location-scale family distributed components, in which ordering results are established in various stochastic senses. For heterogeneity in one parameter, the comparisons are obtained with respect to usual stochastic order, hazard rate order, reversed hazard rate order and likelihood ratio order. Further, for heterogeneity in two parameters, we derive sufficient conditions for the stochastic comparison of FMMs with respect to usual stochastic order and hazard rate order. Various examples and counterexamples are presented to illustrate the proposed results.

Methodology And Computing In Applied ProbabilityVol. 26(4)
National Institute of Technology Rourkela (IN), University of Strathclyde (GB), University of the Free State (ZA)
Openalex Percentile: Top 12%
Statistical Distribution Estimation and Applications
2.13
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