The XLindley Distribution: Properties and Application
This paper proposes a new distribution called XLindley distribution (XLD), this distribution is generated as a special mixture of two distributions: exponential and Lindley and hence the name proposed. Also, the statistical properties like stochastic ordering, quantile function, the maximum likeliho...
Gespeichert in:
Veröffentlicht in: | Journal of Statistical Theory and Applications 2021-06, Vol.20 (2), p.318-327 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 327 |
---|---|
container_issue | 2 |
container_start_page | 318 |
container_title | Journal of Statistical Theory and Applications |
container_volume | 20 |
creator | Chouia, Sarra Zeghdoudi, Halim |
description | This paper proposes a new distribution called XLindley distribution (XLD), this distribution is generated as a special mixture of two distributions: exponential and Lindley and hence the name proposed. Also, the statistical properties like stochastic ordering, quantile function, the maximum likelihood method and method of moments. An application of the model to a real data set presented finally and compared with the fit and shows that XLD has more flexibility than others one-parameter distributions. |
doi_str_mv | 10.2991/jsta.d.210607.001 |
format | Article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_proquest_journals_2921231490</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_dbff37c9f66e434aba20a5e6b1dc71fb</doaj_id><sourcerecordid>2921231490</sourcerecordid><originalsourceid>FETCH-LOGICAL-c425t-af03cdc0967bde5bf80f8f206cf5ca9b3c68eb0f98046a35e0a1985ec9feebe03</originalsourceid><addsrcrecordid>eNp1UEtLxDAQDqLgovsDvBU8d50kTZp4E9-woIcVvIU8JmuXta1J9-C_t2tFT85lYOZ78RFyRmHBtKYXmzzYRVgwChLqBQA9IDPGaFXSWspDMqOCq7JWqj4m85w3MI4CEIzPiFi9YfG6bNqwxc_ipslDatxuaLr2snhOXY9paDAXtg3FVd9vG2_3v1NyFO024_xnn5CXu9vV9UO5fLp_vL5alr5iYihtBO6DBy1rF1C4qCCqyED6KLzVjnup0EHUCippuUCwVCuBXkdEh8BPyOOkGzq7MX1q3m36NJ1tzPehS2tjx4B-iya4GHk9MqXEilfWWQZWoHQ0-JpGN2qdT1p96j52mAez6XapHeMbphllnFZ670gnlE9dzgnjrysFsy_b7Ms2wUxlm7HskcMmTh6x7RrTn_L_pC88K4RM</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2921231490</pqid></control><display><type>article</type><title>The XLindley Distribution: Properties and Application</title><source>DOAJ Directory of Open Access Journals</source><source>SpringerLink Journals - AutoHoldings</source><creator>Chouia, Sarra ; Zeghdoudi, Halim</creator><creatorcontrib>Chouia, Sarra ; Zeghdoudi, Halim</creatorcontrib><description>This paper proposes a new distribution called XLindley distribution (XLD), this distribution is generated as a special mixture of two distributions: exponential and Lindley and hence the name proposed. Also, the statistical properties like stochastic ordering, quantile function, the maximum likelihood method and method of moments. An application of the model to a real data set presented finally and compared with the fit and shows that XLD has more flexibility than others one-parameter distributions.</description><identifier>ISSN: 1538-7887</identifier><identifier>ISSN: 2214-1766</identifier><identifier>EISSN: 2214-1766</identifier><identifier>DOI: 10.2991/jsta.d.210607.001</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Exponential distribution ; Lindley distribution ; maximum likelihood method ; method of moment ; Method of moments ; quantile function ; Research Article ; simulation</subject><ispartof>Journal of Statistical Theory and Applications, 2021-06, Vol.20 (2), p.318-327</ispartof><rights>The Authors 2021</rights><rights>The Authors 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c425t-af03cdc0967bde5bf80f8f206cf5ca9b3c68eb0f98046a35e0a1985ec9feebe03</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.2991/jsta.d.210607.001$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.2991/jsta.d.210607.001$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Chouia, Sarra</creatorcontrib><creatorcontrib>Zeghdoudi, Halim</creatorcontrib><title>The XLindley Distribution: Properties and Application</title><title>Journal of Statistical Theory and Applications</title><addtitle>J Stat Theory Appl</addtitle><description>This paper proposes a new distribution called XLindley distribution (XLD), this distribution is generated as a special mixture of two distributions: exponential and Lindley and hence the name proposed. Also, the statistical properties like stochastic ordering, quantile function, the maximum likelihood method and method of moments. An application of the model to a real data set presented finally and compared with the fit and shows that XLD has more flexibility than others one-parameter distributions.</description><subject>Exponential distribution</subject><subject>Lindley distribution</subject><subject>maximum likelihood method</subject><subject>method of moment</subject><subject>Method of moments</subject><subject>quantile function</subject><subject>Research Article</subject><subject>simulation</subject><issn>1538-7887</issn><issn>2214-1766</issn><issn>2214-1766</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNp1UEtLxDAQDqLgovsDvBU8d50kTZp4E9-woIcVvIU8JmuXta1J9-C_t2tFT85lYOZ78RFyRmHBtKYXmzzYRVgwChLqBQA9IDPGaFXSWspDMqOCq7JWqj4m85w3MI4CEIzPiFi9YfG6bNqwxc_ipslDatxuaLr2snhOXY9paDAXtg3FVd9vG2_3v1NyFO024_xnn5CXu9vV9UO5fLp_vL5alr5iYihtBO6DBy1rF1C4qCCqyED6KLzVjnup0EHUCippuUCwVCuBXkdEh8BPyOOkGzq7MX1q3m36NJ1tzPehS2tjx4B-iya4GHk9MqXEilfWWQZWoHQ0-JpGN2qdT1p96j52mAez6XapHeMbphllnFZ670gnlE9dzgnjrysFsy_b7Ms2wUxlm7HskcMmTh6x7RrTn_L_pC88K4RM</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Chouia, Sarra</creator><creator>Zeghdoudi, Halim</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><general>Springer</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>DOA</scope></search><sort><creationdate>20210601</creationdate><title>The XLindley Distribution: Properties and Application</title><author>Chouia, Sarra ; Zeghdoudi, Halim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c425t-af03cdc0967bde5bf80f8f206cf5ca9b3c68eb0f98046a35e0a1985ec9feebe03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Exponential distribution</topic><topic>Lindley distribution</topic><topic>maximum likelihood method</topic><topic>method of moment</topic><topic>Method of moments</topic><topic>quantile function</topic><topic>Research Article</topic><topic>simulation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chouia, Sarra</creatorcontrib><creatorcontrib>Zeghdoudi, Halim</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of Statistical Theory and Applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chouia, Sarra</au><au>Zeghdoudi, Halim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The XLindley Distribution: Properties and Application</atitle><jtitle>Journal of Statistical Theory and Applications</jtitle><stitle>J Stat Theory Appl</stitle><date>2021-06-01</date><risdate>2021</risdate><volume>20</volume><issue>2</issue><spage>318</spage><epage>327</epage><pages>318-327</pages><issn>1538-7887</issn><issn>2214-1766</issn><eissn>2214-1766</eissn><abstract>This paper proposes a new distribution called XLindley distribution (XLD), this distribution is generated as a special mixture of two distributions: exponential and Lindley and hence the name proposed. Also, the statistical properties like stochastic ordering, quantile function, the maximum likelihood method and method of moments. An application of the model to a real data set presented finally and compared with the fit and shows that XLD has more flexibility than others one-parameter distributions.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.2991/jsta.d.210607.001</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1538-7887 |
ispartof | Journal of Statistical Theory and Applications, 2021-06, Vol.20 (2), p.318-327 |
issn | 1538-7887 2214-1766 2214-1766 |
language | eng |
recordid | cdi_proquest_journals_2921231490 |
source | DOAJ Directory of Open Access Journals; SpringerLink Journals - AutoHoldings |
subjects | Exponential distribution Lindley distribution maximum likelihood method method of moment Method of moments quantile function Research Article simulation |
title | The XLindley Distribution: Properties and Application |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T15%3A33%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20XLindley%20Distribution:%20Properties%20and%20Application&rft.jtitle=Journal%20of%20Statistical%20Theory%20and%20Applications&rft.au=Chouia,%20Sarra&rft.date=2021-06-01&rft.volume=20&rft.issue=2&rft.spage=318&rft.epage=327&rft.pages=318-327&rft.issn=1538-7887&rft.eissn=2214-1766&rft_id=info:doi/10.2991/jsta.d.210607.001&rft_dat=%3Cproquest_doaj_%3E2921231490%3C/proquest_doaj_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2921231490&rft_id=info:pmid/&rft_doaj_id=oai_doaj_org_article_dbff37c9f66e434aba20a5e6b1dc71fb&rfr_iscdi=true |