Inference of Progressively Censored Data from The Generalized Exponential Distribution
In this paper, we derive approximate moments of progressively type-II right censored order statistics from the generalized exponential distribution . Also, using these moments to derive the best linear unbiased estimates and maximum likelihood estimates of the location and scale parameters from the...
Gespeichert in:
| Veröffentlicht in: | Journal of statistics applications & probability 2015-03, Vol.4 (1), p.139-139 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 139 |
|---|---|
| container_issue | 1 |
| container_start_page | 139 |
| container_title | Journal of statistics applications & probability |
| container_volume | 4 |
| creator | Mahmoud, M A W Yhiea, N M Moshref, M Mohamed, N M |
| description | In this paper, we derive approximate moments of progressively type-II right censored order statistics from the generalized exponential distribution . Also, using these moments to derive the best linear unbiased estimates and maximum likelihood estimates of the location and scale parameters from the generalized exponential distribution. In addition, we use Monte-Carlo simulation method to obtain the mean square error of the best linear unbiased estimates and maximum likelihood estimates and make comparison between them. Finally, we will present numerical example to illustrate the inference procedures developed in this distribution. |
| format | Article |
| fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_1677975422</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1677975422</sourcerecordid><originalsourceid>FETCH-proquest_miscellaneous_16779754223</originalsourceid><addsrcrecordid>eNqVir0OgjAURhujiUR5h44uJFBAYAb82RyIK6l40ZrSYm8x6tPLYNz9lnOS802Iw_zM99IoDKY_Z-GcuIg3f1waBynLHHLcqxYMqAaobunB6IsBRPEA-aI5KNQGzrTgltPW6I5WV6BbUGC4FO-xlM9eK1BWcEkLgdaI02CFVksya7lEcL9ckNWmrPKd1xt9HwBt3QlsQEquQA9YB-skyZI4Yiz84_oBqrBHpQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1677975422</pqid></control><display><type>article</type><title>Inference of Progressively Censored Data from The Generalized Exponential Distribution</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Mahmoud, M A W ; Yhiea, N M ; Moshref, M ; Mohamed, N M</creator><creatorcontrib>Mahmoud, M A W ; Yhiea, N M ; Moshref, M ; Mohamed, N M</creatorcontrib><description>In this paper, we derive approximate moments of progressively type-II right censored order statistics from the generalized exponential distribution . Also, using these moments to derive the best linear unbiased estimates and maximum likelihood estimates of the location and scale parameters from the generalized exponential distribution. In addition, we use Monte-Carlo simulation method to obtain the mean square error of the best linear unbiased estimates and maximum likelihood estimates and make comparison between them. Finally, we will present numerical example to illustrate the inference procedures developed in this distribution.</description><identifier>ISSN: 2090-8423</identifier><identifier>EISSN: 2090-8431</identifier><language>eng</language><subject>Approximation ; Computer simulation ; Estimates ; Inference ; Mathematical models ; Maximum likelihood estimates ; Probability distribution functions ; Statistics</subject><ispartof>Journal of statistics applications & probability, 2015-03, Vol.4 (1), p.139-139</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Mahmoud, M A W</creatorcontrib><creatorcontrib>Yhiea, N M</creatorcontrib><creatorcontrib>Moshref, M</creatorcontrib><creatorcontrib>Mohamed, N M</creatorcontrib><title>Inference of Progressively Censored Data from The Generalized Exponential Distribution</title><title>Journal of statistics applications & probability</title><description>In this paper, we derive approximate moments of progressively type-II right censored order statistics from the generalized exponential distribution . Also, using these moments to derive the best linear unbiased estimates and maximum likelihood estimates of the location and scale parameters from the generalized exponential distribution. In addition, we use Monte-Carlo simulation method to obtain the mean square error of the best linear unbiased estimates and maximum likelihood estimates and make comparison between them. Finally, we will present numerical example to illustrate the inference procedures developed in this distribution.</description><subject>Approximation</subject><subject>Computer simulation</subject><subject>Estimates</subject><subject>Inference</subject><subject>Mathematical models</subject><subject>Maximum likelihood estimates</subject><subject>Probability distribution functions</subject><subject>Statistics</subject><issn>2090-8423</issn><issn>2090-8431</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqVir0OgjAURhujiUR5h44uJFBAYAb82RyIK6l40ZrSYm8x6tPLYNz9lnOS802Iw_zM99IoDKY_Z-GcuIg3f1waBynLHHLcqxYMqAaobunB6IsBRPEA-aI5KNQGzrTgltPW6I5WV6BbUGC4FO-xlM9eK1BWcEkLgdaI02CFVksya7lEcL9ckNWmrPKd1xt9HwBt3QlsQEquQA9YB-skyZI4Yiz84_oBqrBHpQ</recordid><startdate>20150301</startdate><enddate>20150301</enddate><creator>Mahmoud, M A W</creator><creator>Yhiea, N M</creator><creator>Moshref, M</creator><creator>Mohamed, N M</creator><scope>7SC</scope><scope>8FD</scope><scope>H8D</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20150301</creationdate><title>Inference of Progressively Censored Data from The Generalized Exponential Distribution</title><author>Mahmoud, M A W ; Yhiea, N M ; Moshref, M ; Mohamed, N M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_miscellaneous_16779754223</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Approximation</topic><topic>Computer simulation</topic><topic>Estimates</topic><topic>Inference</topic><topic>Mathematical models</topic><topic>Maximum likelihood estimates</topic><topic>Probability distribution functions</topic><topic>Statistics</topic><toplevel>online_resources</toplevel><creatorcontrib>Mahmoud, M A W</creatorcontrib><creatorcontrib>Yhiea, N M</creatorcontrib><creatorcontrib>Moshref, M</creatorcontrib><creatorcontrib>Mohamed, N M</creatorcontrib><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Journal of statistics applications & probability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mahmoud, M A W</au><au>Yhiea, N M</au><au>Moshref, M</au><au>Mohamed, N M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Inference of Progressively Censored Data from The Generalized Exponential Distribution</atitle><jtitle>Journal of statistics applications & probability</jtitle><date>2015-03-01</date><risdate>2015</risdate><volume>4</volume><issue>1</issue><spage>139</spage><epage>139</epage><pages>139-139</pages><issn>2090-8423</issn><eissn>2090-8431</eissn><abstract>In this paper, we derive approximate moments of progressively type-II right censored order statistics from the generalized exponential distribution . Also, using these moments to derive the best linear unbiased estimates and maximum likelihood estimates of the location and scale parameters from the generalized exponential distribution. In addition, we use Monte-Carlo simulation method to obtain the mean square error of the best linear unbiased estimates and maximum likelihood estimates and make comparison between them. Finally, we will present numerical example to illustrate the inference procedures developed in this distribution.</abstract></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2090-8423 |
| ispartof | Journal of statistics applications & probability, 2015-03, Vol.4 (1), p.139-139 |
| issn | 2090-8423 2090-8431 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1677975422 |
| source | EZB-FREE-00999 freely available EZB journals |
| subjects | Approximation Computer simulation Estimates Inference Mathematical models Maximum likelihood estimates Probability distribution functions Statistics |
| title | Inference of Progressively Censored Data from The Generalized Exponential Distribution |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T13%3A47%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Inference%20of%20Progressively%20Censored%20Data%20from%20The%20Generalized%20Exponential%20Distribution&rft.jtitle=Journal%20of%20statistics%20applications%20&%20probability&rft.au=Mahmoud,%20M%20A%20W&rft.date=2015-03-01&rft.volume=4&rft.issue=1&rft.spage=139&rft.epage=139&rft.pages=139-139&rft.issn=2090-8423&rft.eissn=2090-8431&rft_id=info:doi/&rft_dat=%3Cproquest%3E1677975422%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1677975422&rft_id=info:pmid/&rfr_iscdi=true |