Semi-Parametric Estimator of the Quantile in an Informative Model of Random Censoring

In the informative model of competing risks, an estimator for the quantile function is constructed with the use of the semi-parametrical power estimator for the distribution function. The asymptotic normality of this estimator is established.

Saved in:
Bibliographic Details
Published in:Journal of mathematical sciences (New York, N.Y.) N.Y.), 2022-10, Vol.267 (1), p.117-121
Main Authors: Abdushukurov, A. A., Holmurodov, F.M.
Format: Article
Language:English
Subjects:
Analysis
Censorship
Distribution (Probability theory)
Distribution functions
Electric power distribution
Mathematics
Mathematics and Statistics
Normality
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c3682-9c80617f4418e92f5abb87fe318aa9382387f24a2763309ae1000a0e869d3fb03
container_end_page 121
container_issue 1
container_start_page 117
container_title Journal of mathematical sciences (New York, N.Y.)
container_volume 267
creator Abdushukurov, A. A.
Holmurodov, F.M.
description In the informative model of competing risks, an estimator for the quantile function is constructed with the use of the semi-parametrical power estimator for the distribution function. The asymptotic normality of this estimator is established.
doi_str_mv 10.1007/s10958-022-06113-2
format article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2728164116</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A725848221</galeid><sourcerecordid>A725848221</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3682-9c80617f4418e92f5abb87fe318aa9382387f24a2763309ae1000a0e869d3fb03</originalsourceid><addsrcrecordid>eNp9kU1rGzEQhpfSQNMkf6AnQU89yNHH7kp7DCZNDQ5pneQsxuuRq7AruZIckn9fOS4Egyk6SILn0WjmraovnE04Y-oycdY1mjIhKGs5l1R8qE55oyTVqms-ljNTgkqp6k_V55SeWJFaLU-rx3scHf0JEUbM0fXkOmU3Qg6RBEvybyS_tuCzG5A4T8CTmbchFsA9I7kNKxx23AL8Koxkij6F6Pz6vDqxMCS8-LefVY_frx-mP-j87mY2vZrTXrZa0K7X5bfK1jXX2AnbwHKplUXJNUAntZDlJmoQqpWSdYClVwYMddutpF0yeVZ93b-7ieHPFlM2T2EbfSlphBKatzXn7Tu1hgGNKw3kCP3oUm-ulGh0rYXghaJHqDV6jDAEj7bM4JCfHOHLWpWJ9keFbwdCYTK-5DVsUzKz-8UhK_ZsH0NKEa3ZxBJLfDWcmV3iZp-4KYmbt8SNKJLcS2mzCwHj-zT-Y_0F7wCpmg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2728164116</pqid></control><display><type>article</type><title>Semi-Parametric Estimator of the Quantile in an Informative Model of Random Censoring</title><source>Springer Nature</source><creator>Abdushukurov, A. A. ; Holmurodov, F.M.</creator><creatorcontrib>Abdushukurov, A. A. ; Holmurodov, F.M.</creatorcontrib><description>In the informative model of competing risks, an estimator for the quantile function is constructed with the use of the semi-parametrical power estimator for the distribution function. The asymptotic normality of this estimator is established.</description><identifier>ISSN: 1072-3374</identifier><identifier>EISSN: 1573-8795</identifier><identifier>DOI: 10.1007/s10958-022-06113-2</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Analysis ; Censorship ; Distribution (Probability theory) ; Distribution functions ; Electric power distribution ; Mathematics ; Mathematics and Statistics ; Normality</subject><ispartof>Journal of mathematical sciences (New York, N.Y.), 2022-10, Vol.267 (1), p.117-121</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor 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><rights>COPYRIGHT 2022 Springer</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3682-9c80617f4418e92f5abb87fe318aa9382387f24a2763309ae1000a0e869d3fb03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids></links><search><creatorcontrib>Abdushukurov, A. A.</creatorcontrib><creatorcontrib>Holmurodov, F.M.</creatorcontrib><title>Semi-Parametric Estimator of the Quantile in an Informative Model of Random Censoring</title><title>Journal of mathematical sciences (New York, N.Y.)</title><addtitle>J Math Sci</addtitle><description>In the informative model of competing risks, an estimator for the quantile function is constructed with the use of the semi-parametrical power estimator for the distribution function. The asymptotic normality of this estimator is established.</description><subject>Analysis</subject><subject>Censorship</subject><subject>Distribution (Probability theory)</subject><subject>Distribution functions</subject><subject>Electric power distribution</subject><subject>Mathematics</subject><subject>Mathematics and Statistics</subject><subject>Normality</subject><issn>1072-3374</issn><issn>1573-8795</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kU1rGzEQhpfSQNMkf6AnQU89yNHH7kp7DCZNDQ5pneQsxuuRq7AruZIckn9fOS4Egyk6SILn0WjmraovnE04Y-oycdY1mjIhKGs5l1R8qE55oyTVqms-ljNTgkqp6k_V55SeWJFaLU-rx3scHf0JEUbM0fXkOmU3Qg6RBEvybyS_tuCzG5A4T8CTmbchFsA9I7kNKxx23AL8Koxkij6F6Pz6vDqxMCS8-LefVY_frx-mP-j87mY2vZrTXrZa0K7X5bfK1jXX2AnbwHKplUXJNUAntZDlJmoQqpWSdYClVwYMddutpF0yeVZ93b-7ieHPFlM2T2EbfSlphBKatzXn7Tu1hgGNKw3kCP3oUm-ulGh0rYXghaJHqDV6jDAEj7bM4JCfHOHLWpWJ9keFbwdCYTK-5DVsUzKz-8UhK_ZsH0NKEa3ZxBJLfDWcmV3iZp-4KYmbt8SNKJLcS2mzCwHj-zT-Y_0F7wCpmg</recordid><startdate>20221001</startdate><enddate>20221001</enddate><creator>Abdushukurov, A. A.</creator><creator>Holmurodov, F.M.</creator><general>Springer International Publishing</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope></search><sort><creationdate>20221001</creationdate><title>Semi-Parametric Estimator of the Quantile in an Informative Model of Random Censoring</title><author>Abdushukurov, A. A. ; Holmurodov, F.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3682-9c80617f4418e92f5abb87fe318aa9382387f24a2763309ae1000a0e869d3fb03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Analysis</topic><topic>Censorship</topic><topic>Distribution (Probability theory)</topic><topic>Distribution functions</topic><topic>Electric power distribution</topic><topic>Mathematics</topic><topic>Mathematics and Statistics</topic><topic>Normality</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abdushukurov, A. A.</creatorcontrib><creatorcontrib>Holmurodov, F.M.</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><jtitle>Journal of mathematical sciences (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Abdushukurov, A. A.</au><au>Holmurodov, F.M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Semi-Parametric Estimator of the Quantile in an Informative Model of Random Censoring</atitle><jtitle>Journal of mathematical sciences (New York, N.Y.)</jtitle><stitle>J Math Sci</stitle><date>2022-10-01</date><risdate>2022</risdate><volume>267</volume><issue>1</issue><spage>117</spage><epage>121</epage><pages>117-121</pages><issn>1072-3374</issn><eissn>1573-8795</eissn><abstract>In the informative model of competing risks, an estimator for the quantile function is constructed with the use of the semi-parametrical power estimator for the distribution function. The asymptotic normality of this estimator is established.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s10958-022-06113-2</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1072-3374
ispartof Journal of mathematical sciences (New York, N.Y.), 2022-10, Vol.267 (1), p.117-121
issn 1072-3374
1573-8795
language eng
recordid cdi_proquest_journals_2728164116
source Springer Nature
subjects Analysis
Censorship
Distribution (Probability theory)
Distribution functions
Electric power distribution
Mathematics
Mathematics and Statistics
Normality
title Semi-Parametric Estimator of the Quantile in an Informative Model of Random Censoring
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T13%3A59%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Semi-Parametric%20Estimator%20of%20the%20Quantile%20in%20an%20Informative%20Model%20of%20Random%20Censoring&rft.jtitle=Journal%20of%20mathematical%20sciences%20(New%20York,%20N.Y.)&rft.au=Abdushukurov,%20A.%20A.&rft.date=2022-10-01&rft.volume=267&rft.issue=1&rft.spage=117&rft.epage=121&rft.pages=117-121&rft.issn=1072-3374&rft.eissn=1573-8795&rft_id=info:doi/10.1007/s10958-022-06113-2&rft_dat=%3Cgale_proqu%3EA725848221%3C/gale_proqu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c3682-9c80617f4418e92f5abb87fe318aa9382387f24a2763309ae1000a0e869d3fb03%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2728164116&rft_id=info:pmid/&rft_galeid=A725848221&rfr_iscdi=true