The Marshall-Olkin Odd Exponential Half Logistic-G Family of Distributions: Properties and Applications

Broderick Oluyede; Fastel Chipepa

doi:10.19139/soic-2310-5070-938

The Marshall-Olkin Odd Exponential Half Logistic-G Family of Distributions: Properties and Applications

Broderick Oluyede, Fastel Chipepa

Botswana International University of Science & Technology

Research output: Contribution to journal › Article › peer-review

Abstract

We develop a new family of distributions, referred to as the Marshall-Olkin odd exponential half logistic-G, which is a linear combination of the exponential-G family of distributions. The family of distributions can handle heavy tailed data and has non-monotonic hazard rate functions. We also conducted a simulation study to assess the performance of the proposed model.

Original language	English
Pages (from-to)	479-503
Number of pages	25
Journal	Statistics, Optimization and Information Computing
Volume	11
Issue number	2
DOIs	https://doi.org/10.19139/soic-2310-5070-938
Publication status	Published - 2023

All Science Journal Classification (ASJC) codes

Signal Processing
Statistics and Probability
Information Systems
Computer Vision and Pattern Recognition
Statistics, Probability and Uncertainty
Control and Optimization
Artificial Intelligence

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10.19139/soic-2310-5070-938

Cite this

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abstract = "We develop a new family of distributions, referred to as the Marshall-Olkin odd exponential half logistic-G, which is a linear combination of the exponential-G family of distributions. The family of distributions can handle heavy tailed data and has non-monotonic hazard rate functions. We also conducted a simulation study to assess the performance of the proposed model.",

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The Marshall-Olkin Odd Exponential Half Logistic-G Family of Distributions: Properties and Applications

Abstract

All Science Journal Classification (ASJC) codes

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