An Additive Chen Distribution with Applications to Lifetime Data

This paper presents a lifetime model with properties representing increasing, decreasing, and bathtub curve shapes for failure rates. The proposed model was built based on the additive methodology, for which the Chen distribution was used as the base model, thus introducing the Additive Chen Distrib...

Full description

Bibliographic Details
Main Authors: Luis Carlos Méndez-González, Luis Alberto Rodríguez-Picón, Ivan Juan Carlos Pérez-Olguín, Luis Ricardo Vidal Portilla
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Axioms
Subjects:
Online Access:https://www.mdpi.com/2075-1680/12/2/118
_version_ 1827758649309659136
author Luis Carlos Méndez-González
Luis Alberto Rodríguez-Picón
Ivan Juan Carlos Pérez-Olguín
Luis Ricardo Vidal Portilla
author_facet Luis Carlos Méndez-González
Luis Alberto Rodríguez-Picón
Ivan Juan Carlos Pérez-Olguín
Luis Ricardo Vidal Portilla
author_sort Luis Carlos Méndez-González
collection DOAJ
description This paper presents a lifetime model with properties representing increasing, decreasing, and bathtub curve shapes for failure rates. The proposed model was built based on the additive methodology, for which the Chen distribution was used as the base model, thus introducing the Additive Chen Distribution (AddC). An essential feature of AddC is this model’s excellent flexibility in describing failure rates with non-monotonic behavior or with the shape of a bathtub curve concerning other current models. Statistical properties of AddC are presented and analyzed for different fields of study. For the estimation of AddC’s parameters, the maximum likelihood method (MLE) was used. Three case studies in different fields of application are presented, from which AddC is compared against other probability distributions with similar properties. The results show that AddC offers competitive results.
first_indexed 2024-03-11T09:10:30Z
format Article
id doaj.art-e03f45cca5d546aab8152d21cf680312
institution Directory Open Access Journal
issn 2075-1680
language English
last_indexed 2024-03-11T09:10:30Z
publishDate 2023-01-01
publisher MDPI AG
record_format Article
series Axioms
spelling doaj.art-e03f45cca5d546aab8152d21cf6803122023-11-16T19:05:30ZengMDPI AGAxioms2075-16802023-01-0112211810.3390/axioms12020118An Additive Chen Distribution with Applications to Lifetime DataLuis Carlos Méndez-González0Luis Alberto Rodríguez-Picón1Ivan Juan Carlos Pérez-Olguín2Luis Ricardo Vidal Portilla3Department of Industrial Engineering and Manufacturing, Autonomous University of Ciudad Juárez, Av. del Charro no. 450 Nte. Col. Partido Romero, Ciudad Juárez 32310, MexicoDepartment of Industrial Engineering and Manufacturing, Autonomous University of Ciudad Juárez, Av. del Charro no. 450 Nte. Col. Partido Romero, Ciudad Juárez 32310, MexicoDepartment of Industrial Engineering and Manufacturing, Autonomous University of Ciudad Juárez, Av. del Charro no. 450 Nte. Col. Partido Romero, Ciudad Juárez 32310, MexicoDepartment of Industrial Engineering and Manufacturing, Autonomous University of Ciudad Juárez, Av. del Charro no. 450 Nte. Col. Partido Romero, Ciudad Juárez 32310, MexicoThis paper presents a lifetime model with properties representing increasing, decreasing, and bathtub curve shapes for failure rates. The proposed model was built based on the additive methodology, for which the Chen distribution was used as the base model, thus introducing the Additive Chen Distribution (AddC). An essential feature of AddC is this model’s excellent flexibility in describing failure rates with non-monotonic behavior or with the shape of a bathtub curve concerning other current models. Statistical properties of AddC are presented and analyzed for different fields of study. For the estimation of AddC’s parameters, the maximum likelihood method (MLE) was used. Three case studies in different fields of application are presented, from which AddC is compared against other probability distributions with similar properties. The results show that AddC offers competitive results.https://www.mdpi.com/2075-1680/12/2/118Additive Chen Distributionbathtub distributionChen distributionlifetime data analysisnon-monotone failure rate
spellingShingle Luis Carlos Méndez-González
Luis Alberto Rodríguez-Picón
Ivan Juan Carlos Pérez-Olguín
Luis Ricardo Vidal Portilla
An Additive Chen Distribution with Applications to Lifetime Data
Axioms
Additive Chen Distribution
bathtub distribution
Chen distribution
lifetime data analysis
non-monotone failure rate
title An Additive Chen Distribution with Applications to Lifetime Data
title_full An Additive Chen Distribution with Applications to Lifetime Data
title_fullStr An Additive Chen Distribution with Applications to Lifetime Data
title_full_unstemmed An Additive Chen Distribution with Applications to Lifetime Data
title_short An Additive Chen Distribution with Applications to Lifetime Data
title_sort additive chen distribution with applications to lifetime data
topic Additive Chen Distribution
bathtub distribution
Chen distribution
lifetime data analysis
non-monotone failure rate
url https://www.mdpi.com/2075-1680/12/2/118
work_keys_str_mv AT luiscarlosmendezgonzalez anadditivechendistributionwithapplicationstolifetimedata
AT luisalbertorodriguezpicon anadditivechendistributionwithapplicationstolifetimedata
AT ivanjuancarlosperezolguin anadditivechendistributionwithapplicationstolifetimedata
AT luisricardovidalportilla anadditivechendistributionwithapplicationstolifetimedata
AT luiscarlosmendezgonzalez additivechendistributionwithapplicationstolifetimedata
AT luisalbertorodriguezpicon additivechendistributionwithapplicationstolifetimedata
AT ivanjuancarlosperezolguin additivechendistributionwithapplicationstolifetimedata
AT luisricardovidalportilla additivechendistributionwithapplicationstolifetimedata