Logit Truncated-Exponential Skew-Logistic Distribution with Properties and Applications

In recent years, bounded distributions have attracted extensive attention. At the same time, various areas involve bounded interval data, such as proportion and ratio. In this paper, we propose a new bounded model, named logistic Truncated exponential skew logistic distribution. Some basic statistic...

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Main Authors: Liyuan Pang, Weizhong Tian, Tingting Tong, Xiangfei Chen
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Modelling
Subjects:
Online Access:https://www.mdpi.com/2673-3951/2/4/41
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author Liyuan Pang
Weizhong Tian
Tingting Tong
Xiangfei Chen
author_facet Liyuan Pang
Weizhong Tian
Tingting Tong
Xiangfei Chen
author_sort Liyuan Pang
collection DOAJ
description In recent years, bounded distributions have attracted extensive attention. At the same time, various areas involve bounded interval data, such as proportion and ratio. In this paper, we propose a new bounded model, named logistic Truncated exponential skew logistic distribution. Some basic statistical properties of the proposed distribution are studied, including moments, mean residual life function, Renyi entropy, mean deviation, order statistics, exponential family, and quantile function. The maximum likelihood method is used to estimate the unknown parameters of the proposed distribution. More importantly, the applications to three real data sets mainly from the field of engineering science prove that the logistic Truncated exponential skew logistic distribution fits better than other bounded distributions.
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spelling doaj.art-4f3eed1f157447dc87352b0a725d893f2023-11-23T09:43:16ZengMDPI AGModelling2673-39512021-12-012477679410.3390/modelling2040041Logit Truncated-Exponential Skew-Logistic Distribution with Properties and ApplicationsLiyuan Pang0Weizhong Tian1Tingting Tong2Xiangfei Chen3Department of Mathematics, Xi’an University of Technology, Xi’an 710054, ChinaCollege of Big Data and Internet, Shenzhen Technology University, Shenzhen 518118, ChinaDepartment of Mathematical Sciences, New Mexico State University, Las Cruces, NM 88003, USADepartment of Mathematical Sciences, New Mexico State University, Las Cruces, NM 88003, USAIn recent years, bounded distributions have attracted extensive attention. At the same time, various areas involve bounded interval data, such as proportion and ratio. In this paper, we propose a new bounded model, named logistic Truncated exponential skew logistic distribution. Some basic statistical properties of the proposed distribution are studied, including moments, mean residual life function, Renyi entropy, mean deviation, order statistics, exponential family, and quantile function. The maximum likelihood method is used to estimate the unknown parameters of the proposed distribution. More importantly, the applications to three real data sets mainly from the field of engineering science prove that the logistic Truncated exponential skew logistic distribution fits better than other bounded distributions.https://www.mdpi.com/2673-3951/2/4/41Beta distributionlogit truncated-exponential skew-logistic distributiontruncated-exponential skew-logistic distributionmaximum likelihood estimatorengineering sciencefitting effect
spellingShingle Liyuan Pang
Weizhong Tian
Tingting Tong
Xiangfei Chen
Logit Truncated-Exponential Skew-Logistic Distribution with Properties and Applications
Modelling
Beta distribution
logit truncated-exponential skew-logistic distribution
truncated-exponential skew-logistic distribution
maximum likelihood estimator
engineering science
fitting effect
title Logit Truncated-Exponential Skew-Logistic Distribution with Properties and Applications
title_full Logit Truncated-Exponential Skew-Logistic Distribution with Properties and Applications
title_fullStr Logit Truncated-Exponential Skew-Logistic Distribution with Properties and Applications
title_full_unstemmed Logit Truncated-Exponential Skew-Logistic Distribution with Properties and Applications
title_short Logit Truncated-Exponential Skew-Logistic Distribution with Properties and Applications
title_sort logit truncated exponential skew logistic distribution with properties and applications
topic Beta distribution
logit truncated-exponential skew-logistic distribution
truncated-exponential skew-logistic distribution
maximum likelihood estimator
engineering science
fitting effect
url https://www.mdpi.com/2673-3951/2/4/41
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AT weizhongtian logittruncatedexponentialskewlogisticdistributionwithpropertiesandapplications
AT tingtingtong logittruncatedexponentialskewlogisticdistributionwithpropertiesandapplications
AT xiangfeichen logittruncatedexponentialskewlogisticdistributionwithpropertiesandapplications