Application to Biomedical Data: Using the Topp Leone Inverse Lindley Model

A more flexible two-parameter model named the Topp Leone inverse Lindley model is investigated. Some basic mathematical properties such as quantile, moments, order statistics, and Rényi entropy of the new distribution are considered. Plot analysis for mean, variance, skewness, and kurtosis is perfor...

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Main Author: Maha A. Aldahlan
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2022/1985861
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author Maha A. Aldahlan
author_facet Maha A. Aldahlan
author_sort Maha A. Aldahlan
collection DOAJ
description A more flexible two-parameter model named the Topp Leone inverse Lindley model is investigated. Some basic mathematical properties such as quantile, moments, order statistics, and Rényi entropy of the new distribution are considered. Plot analysis for mean, variance, skewness, and kurtosis is performed. The density of the new model can be right skewed and decreasing with unimodal and bimodal shapes. Also, its hazard rate function can be decreasing and upside-down. The maximum likelihood (ML) estimation method is used to estimate the parameters of the distribution. The simulation study is executed to investigate the effectiveness of the estimates. The potential of the distribution is demonstrated through the application of the real biomedical dataset.
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spelling doaj-art-569432feaeb24fd98ecc10b68402c3e32025-02-03T01:07:11ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/1985861Application to Biomedical Data: Using the Topp Leone Inverse Lindley ModelMaha A. Aldahlan0University of JeddahA more flexible two-parameter model named the Topp Leone inverse Lindley model is investigated. Some basic mathematical properties such as quantile, moments, order statistics, and Rényi entropy of the new distribution are considered. Plot analysis for mean, variance, skewness, and kurtosis is performed. The density of the new model can be right skewed and decreasing with unimodal and bimodal shapes. Also, its hazard rate function can be decreasing and upside-down. The maximum likelihood (ML) estimation method is used to estimate the parameters of the distribution. The simulation study is executed to investigate the effectiveness of the estimates. The potential of the distribution is demonstrated through the application of the real biomedical dataset.http://dx.doi.org/10.1155/2022/1985861
spellingShingle Maha A. Aldahlan
Application to Biomedical Data: Using the Topp Leone Inverse Lindley Model
Journal of Mathematics
title Application to Biomedical Data: Using the Topp Leone Inverse Lindley Model
title_full Application to Biomedical Data: Using the Topp Leone Inverse Lindley Model
title_fullStr Application to Biomedical Data: Using the Topp Leone Inverse Lindley Model
title_full_unstemmed Application to Biomedical Data: Using the Topp Leone Inverse Lindley Model
title_short Application to Biomedical Data: Using the Topp Leone Inverse Lindley Model
title_sort application to biomedical data using the topp leone inverse lindley model
url http://dx.doi.org/10.1155/2022/1985861
work_keys_str_mv AT mahaaaldahlan applicationtobiomedicaldatausingthetoppleoneinverselindleymodel