A new truncated (0, b)-F family of lifetime distributions with an extensive study to a submodel and reliability data
In this paper, a new truncated (0, b )-F family of lifetime distributions is introduced. Its main interest is to provide simple and flexible probability density functions with a bounded support without introducing non-explicit normalization constants, unlike the family based on the classical trunca...
Gespeichert in:
Veröffentlicht in: | Afrika mathematica 2023-03, Vol.34 (1), Article 3 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 1 |
container_start_page | |
container_title | Afrika mathematica |
container_volume | 34 |
creator | Nik, A. Saadati Chesneau, Christophe Bakouch, Hassan S. Asgharzadeh, A. |
description | In this paper, a new truncated (0,
b
)-F family of lifetime distributions is introduced. Its main interest is to provide simple and flexible probability density functions with a bounded support without introducing non-explicit normalization constants, unlike the family based on the classical truncation technique. A detailed examination of a subdistribution known as the (0,
b
)-exponential distribution is carried out. Among its features, this distribution has unimodal, left-skewed, and decreasing shapes for the probability density function, while it has increasing and convex shapes for the corresponding hazard rate function. The distribution’s properties are studied in depth, including moments, quantiles, and first-order stochastic dominance. Maximum likelihood estimates of the distribution parameters are obtained. Furthermore, a simulation study is conducted to gain some information on the performance of these estimates. Fitting two reliability data sets demonstrates the model’s utility among alternative models via some measures of goodness-of-fit. |
doi_str_mv | 10.1007/s13370-022-01037-1 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2756690351</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2756690351</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-991ed8b4f62701a9d5a912f863aa35c8a92b3c9fc42af8e1647ac899b546cb1a3</originalsourceid><addsrcrecordid>eNp9kE1LxTAQRYMo-FD_gKsBNwpGM0mbNksRv0Bwo-swbRON9LWapOr79_b5BHfO5m7OvQOHsUMUZyhEdZ5QqUpwISUXKFTFcYstJBrBK63rbbZAgZKbQpS77CClVzFfoVGXasHyBQzuE3Kchpay6-BYnEJzwq_B0zL0Kxg99MG7HJYOupByDM2Uwzgk-Az5BWgA95XdkMKHg5SnbgV5BII0Ncuxc_0MdBBdH6gJfcgr6CjTPtvx1Cd38Jt77On66vHylt8_3NxdXtzzVqHJ3Bh0Xd0UXstKIJmuJIPS11oRqbKtychGtca3hSRfO9RFRW1tTFMWum2Q1B472uy-xfF9cinb13GKw_zSyqrU2ghV4kzJDdXGMaXovH2LYUlxZVHYtWC7EWxnwfZHsF2X1KaUZnh4dvFv-p_WNzhXfbM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2756690351</pqid></control><display><type>article</type><title>A new truncated (0, b)-F family of lifetime distributions with an extensive study to a submodel and reliability data</title><source>SpringerLink Journals</source><creator>Nik, A. Saadati ; Chesneau, Christophe ; Bakouch, Hassan S. ; Asgharzadeh, A.</creator><creatorcontrib>Nik, A. Saadati ; Chesneau, Christophe ; Bakouch, Hassan S. ; Asgharzadeh, A.</creatorcontrib><description>In this paper, a new truncated (0,
b
)-F family of lifetime distributions is introduced. Its main interest is to provide simple and flexible probability density functions with a bounded support without introducing non-explicit normalization constants, unlike the family based on the classical truncation technique. A detailed examination of a subdistribution known as the (0,
b
)-exponential distribution is carried out. Among its features, this distribution has unimodal, left-skewed, and decreasing shapes for the probability density function, while it has increasing and convex shapes for the corresponding hazard rate function. The distribution’s properties are studied in depth, including moments, quantiles, and first-order stochastic dominance. Maximum likelihood estimates of the distribution parameters are obtained. Furthermore, a simulation study is conducted to gain some information on the performance of these estimates. Fitting two reliability data sets demonstrates the model’s utility among alternative models via some measures of goodness-of-fit.</description><identifier>ISSN: 1012-9405</identifier><identifier>EISSN: 2190-7668</identifier><identifier>DOI: 10.1007/s13370-022-01037-1</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applications of Mathematics ; Goodness of fit ; History of Mathematical Sciences ; Mathematics ; Mathematics and Statistics ; Mathematics Education ; Maximum likelihood estimates ; Probability density functions ; Probability distribution functions ; Quantiles ; Reliability</subject><ispartof>Afrika mathematica, 2023-03, Vol.34 (1), Article 3</ispartof><rights>African Mathematical Union and Springer-Verlag GmbH Deutschland, ein Teil von Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-991ed8b4f62701a9d5a912f863aa35c8a92b3c9fc42af8e1647ac899b546cb1a3</citedby><cites>FETCH-LOGICAL-c319t-991ed8b4f62701a9d5a912f863aa35c8a92b3c9fc42af8e1647ac899b546cb1a3</cites><orcidid>0000-0002-1839-5667</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s13370-022-01037-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s13370-022-01037-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Nik, A. Saadati</creatorcontrib><creatorcontrib>Chesneau, Christophe</creatorcontrib><creatorcontrib>Bakouch, Hassan S.</creatorcontrib><creatorcontrib>Asgharzadeh, A.</creatorcontrib><title>A new truncated (0, b)-F family of lifetime distributions with an extensive study to a submodel and reliability data</title><title>Afrika mathematica</title><addtitle>Afr. Mat</addtitle><description>In this paper, a new truncated (0,
b
)-F family of lifetime distributions is introduced. Its main interest is to provide simple and flexible probability density functions with a bounded support without introducing non-explicit normalization constants, unlike the family based on the classical truncation technique. A detailed examination of a subdistribution known as the (0,
b
)-exponential distribution is carried out. Among its features, this distribution has unimodal, left-skewed, and decreasing shapes for the probability density function, while it has increasing and convex shapes for the corresponding hazard rate function. The distribution’s properties are studied in depth, including moments, quantiles, and first-order stochastic dominance. Maximum likelihood estimates of the distribution parameters are obtained. Furthermore, a simulation study is conducted to gain some information on the performance of these estimates. Fitting two reliability data sets demonstrates the model’s utility among alternative models via some measures of goodness-of-fit.</description><subject>Applications of Mathematics</subject><subject>Goodness of fit</subject><subject>History of Mathematical Sciences</subject><subject>Mathematics</subject><subject>Mathematics and Statistics</subject><subject>Mathematics Education</subject><subject>Maximum likelihood estimates</subject><subject>Probability density functions</subject><subject>Probability distribution functions</subject><subject>Quantiles</subject><subject>Reliability</subject><issn>1012-9405</issn><issn>2190-7668</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LxTAQRYMo-FD_gKsBNwpGM0mbNksRv0Bwo-swbRON9LWapOr79_b5BHfO5m7OvQOHsUMUZyhEdZ5QqUpwISUXKFTFcYstJBrBK63rbbZAgZKbQpS77CClVzFfoVGXasHyBQzuE3Kchpay6-BYnEJzwq_B0zL0Kxg99MG7HJYOupByDM2Uwzgk-Az5BWgA95XdkMKHg5SnbgV5BII0Ncuxc_0MdBBdH6gJfcgr6CjTPtvx1Cd38Jt77On66vHylt8_3NxdXtzzVqHJ3Bh0Xd0UXstKIJmuJIPS11oRqbKtychGtca3hSRfO9RFRW1tTFMWum2Q1B472uy-xfF9cinb13GKw_zSyqrU2ghV4kzJDdXGMaXovH2LYUlxZVHYtWC7EWxnwfZHsF2X1KaUZnh4dvFv-p_WNzhXfbM</recordid><startdate>20230301</startdate><enddate>20230301</enddate><creator>Nik, A. Saadati</creator><creator>Chesneau, Christophe</creator><creator>Bakouch, Hassan S.</creator><creator>Asgharzadeh, A.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-1839-5667</orcidid></search><sort><creationdate>20230301</creationdate><title>A new truncated (0, b)-F family of lifetime distributions with an extensive study to a submodel and reliability data</title><author>Nik, A. Saadati ; Chesneau, Christophe ; Bakouch, Hassan S. ; Asgharzadeh, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-991ed8b4f62701a9d5a912f863aa35c8a92b3c9fc42af8e1647ac899b546cb1a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Applications of Mathematics</topic><topic>Goodness of fit</topic><topic>History of Mathematical Sciences</topic><topic>Mathematics</topic><topic>Mathematics and Statistics</topic><topic>Mathematics Education</topic><topic>Maximum likelihood estimates</topic><topic>Probability density functions</topic><topic>Probability distribution functions</topic><topic>Quantiles</topic><topic>Reliability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nik, A. Saadati</creatorcontrib><creatorcontrib>Chesneau, Christophe</creatorcontrib><creatorcontrib>Bakouch, Hassan S.</creatorcontrib><creatorcontrib>Asgharzadeh, A.</creatorcontrib><collection>CrossRef</collection><jtitle>Afrika mathematica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nik, A. Saadati</au><au>Chesneau, Christophe</au><au>Bakouch, Hassan S.</au><au>Asgharzadeh, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A new truncated (0, b)-F family of lifetime distributions with an extensive study to a submodel and reliability data</atitle><jtitle>Afrika mathematica</jtitle><stitle>Afr. Mat</stitle><date>2023-03-01</date><risdate>2023</risdate><volume>34</volume><issue>1</issue><artnum>3</artnum><issn>1012-9405</issn><eissn>2190-7668</eissn><abstract>In this paper, a new truncated (0,
b
)-F family of lifetime distributions is introduced. Its main interest is to provide simple and flexible probability density functions with a bounded support without introducing non-explicit normalization constants, unlike the family based on the classical truncation technique. A detailed examination of a subdistribution known as the (0,
b
)-exponential distribution is carried out. Among its features, this distribution has unimodal, left-skewed, and decreasing shapes for the probability density function, while it has increasing and convex shapes for the corresponding hazard rate function. The distribution’s properties are studied in depth, including moments, quantiles, and first-order stochastic dominance. Maximum likelihood estimates of the distribution parameters are obtained. Furthermore, a simulation study is conducted to gain some information on the performance of these estimates. Fitting two reliability data sets demonstrates the model’s utility among alternative models via some measures of goodness-of-fit.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s13370-022-01037-1</doi><orcidid>https://orcid.org/0000-0002-1839-5667</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1012-9405 |
ispartof | Afrika mathematica, 2023-03, Vol.34 (1), Article 3 |
issn | 1012-9405 2190-7668 |
language | eng |
recordid | cdi_proquest_journals_2756690351 |
source | SpringerLink Journals |
subjects | Applications of Mathematics Goodness of fit History of Mathematical Sciences Mathematics Mathematics and Statistics Mathematics Education Maximum likelihood estimates Probability density functions Probability distribution functions Quantiles Reliability |
title | A new truncated (0, b)-F family of lifetime distributions with an extensive study to a submodel and reliability data |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-18T22%3A04%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20new%20truncated%20(0,%20b)-F%20family%20of%20lifetime%20distributions%20with%20an%20extensive%20study%20to%20a%20submodel%20and%20reliability%20data&rft.jtitle=Afrika%20mathematica&rft.au=Nik,%20A.%20Saadati&rft.date=2023-03-01&rft.volume=34&rft.issue=1&rft.artnum=3&rft.issn=1012-9405&rft.eissn=2190-7668&rft_id=info:doi/10.1007/s13370-022-01037-1&rft_dat=%3Cproquest_cross%3E2756690351%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2756690351&rft_id=info:pmid/&rfr_iscdi=true |