Steady-State Behavior of Nonparametric Synthetic Control Chart Using Signed-Rank Statistic

Steady-State Behavior of Nonparametric Synthetic Control Chart Using Signed-Rank Statistic

If process is running for a long period in an in-control condition, it will reach in a steady-state condition. In order to study the long term properties of a control chart, it is appropriate to investigate the steady-state average run length. In this paper we study zero-state and steady-state behav...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Pakistan journal of statistics and operation research 2018-01, Vol.14 (1), p.185
Hauptverfasser: Pawar, Vilas Y, Shirke, Digambar Tukaram, Khilare, Shashikant Kuber
Format: Artikel
Sprache:eng
Schlagworte:
Control charts
Markov chains
Nonparametric statistics
Process controls
Steady state
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 1
container_start_page 185
container_title Pakistan journal of statistics and operation research
container_volume 14
creator Pawar, Vilas Y
Shirke, Digambar Tukaram
Khilare, Shashikant Kuber
description If process is running for a long period in an in-control condition, it will reach in a steady-state condition. In order to study the long term properties of a control chart, it is appropriate to investigate the steady-state average run length. In this paper we study zero-state and steady-state behaviour of a nonparametric synthetic control chart using signed-rank statistic. The zero-state average time to signal and steady-state average time to signal are computed using Markov chain approach. In Comparison study, steady-state average time to signal is compared with zero-state average time to signal for various symmetric distributions. Usefulness of the proposed control chart explored through by giving numerical example.
doi_str_mv 10.18187/pjsor.v14i1.2029
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2053538940</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2053538940</sourcerecordid><originalsourceid>FETCH-LOGICAL-c273t-3facc6ac1c08a65b3dc2b058cf6a554474b7cad39e911f36e911b5755574db0c3</originalsourceid><addsrcrecordid>eNotkE1LwzAAhoMoOOZ-gLeA58x8NE171OIXDAXrLl5CmqZb5pbUJBv039ttnt738PC-8ABwS_CcFKQQ9_0m-jA_kMySOcW0vAATSilGvCD4EkxGKEdUEHINZjHaBtO8FIRTMQHfdTKqHVCdVDLw0azVwfoAfQffvetVUDuTgtWwHlxamzS2yrsU_BZWaxUSXEbrVrC2K2da9KncDzwu2TiSN-CqU9toZv85Bcvnp6_qFS0-Xt6qhwXSVLCEWKe0zpUmGhcq5w1rNW0wL3SXK86zTGSN0KplpSkJ6Vh-jIYLzrnI2gZrNgV3590--N-9iUlu_D648VJSzBlnRZnhkSJnSgcfYzCd7IPdqTBIguXJojxZlCeL8miR_QG9JWf0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2053538940</pqid></control><display><type>article</type><title>Steady-State Behavior of Nonparametric Synthetic Control Chart Using Signed-Rank Statistic</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Pawar, Vilas Y ; Shirke, Digambar Tukaram ; Khilare, Shashikant Kuber</creator><creatorcontrib>Pawar, Vilas Y ; Shirke, Digambar Tukaram ; Khilare, Shashikant Kuber</creatorcontrib><description>If process is running for a long period in an in-control condition, it will reach in a steady-state condition. In order to study the long term properties of a control chart, it is appropriate to investigate the steady-state average run length. In this paper we study zero-state and steady-state behaviour of a nonparametric synthetic control chart using signed-rank statistic. The zero-state average time to signal and steady-state average time to signal are computed using Markov chain approach. In Comparison study, steady-state average time to signal is compared with zero-state average time to signal for various symmetric distributions. Usefulness of the proposed control chart explored through by giving numerical example.</description><identifier>ISSN: 1816-2711</identifier><identifier>EISSN: 2220-5810</identifier><identifier>DOI: 10.18187/pjsor.v14i1.2029</identifier><language>eng</language><publisher>Lahore: University of the Punjab, College of Statistical &amp; Actuarial Science</publisher><subject>Control charts ; Markov chains ; Nonparametric statistics ; Process controls ; Steady state</subject><ispartof>Pakistan journal of statistics and operation research, 2018-01, Vol.14 (1), p.185</ispartof><rights>Copyright University of the Punjab, College of Statistical &amp; Actuarial Science 2018</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c273t-3facc6ac1c08a65b3dc2b058cf6a554474b7cad39e911f36e911b5755574db0c3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Pawar, Vilas Y</creatorcontrib><creatorcontrib>Shirke, Digambar Tukaram</creatorcontrib><creatorcontrib>Khilare, Shashikant Kuber</creatorcontrib><title>Steady-State Behavior of Nonparametric Synthetic Control Chart Using Signed-Rank Statistic</title><title>Pakistan journal of statistics and operation research</title><description>If process is running for a long period in an in-control condition, it will reach in a steady-state condition. In order to study the long term properties of a control chart, it is appropriate to investigate the steady-state average run length. In this paper we study zero-state and steady-state behaviour of a nonparametric synthetic control chart using signed-rank statistic. The zero-state average time to signal and steady-state average time to signal are computed using Markov chain approach. In Comparison study, steady-state average time to signal is compared with zero-state average time to signal for various symmetric distributions. Usefulness of the proposed control chart explored through by giving numerical example.</description><subject>Control charts</subject><subject>Markov chains</subject><subject>Nonparametric statistics</subject><subject>Process controls</subject><subject>Steady state</subject><issn>1816-2711</issn><issn>2220-5810</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNotkE1LwzAAhoMoOOZ-gLeA58x8NE171OIXDAXrLl5CmqZb5pbUJBv039ttnt738PC-8ABwS_CcFKQQ9_0m-jA_kMySOcW0vAATSilGvCD4EkxGKEdUEHINZjHaBtO8FIRTMQHfdTKqHVCdVDLw0azVwfoAfQffvetVUDuTgtWwHlxamzS2yrsU_BZWaxUSXEbrVrC2K2da9KncDzwu2TiSN-CqU9toZv85Bcvnp6_qFS0-Xt6qhwXSVLCEWKe0zpUmGhcq5w1rNW0wL3SXK86zTGSN0KplpSkJ6Vh-jIYLzrnI2gZrNgV3590--N-9iUlu_D648VJSzBlnRZnhkSJnSgcfYzCd7IPdqTBIguXJojxZlCeL8miR_QG9JWf0</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Pawar, Vilas Y</creator><creator>Shirke, Digambar Tukaram</creator><creator>Khilare, Shashikant Kuber</creator><general>University of the Punjab, College of Statistical &amp; Actuarial Science</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</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>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20180101</creationdate><title>Steady-State Behavior of Nonparametric Synthetic Control Chart Using Signed-Rank Statistic</title><author>Pawar, Vilas Y ; Shirke, Digambar Tukaram ; Khilare, Shashikant Kuber</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c273t-3facc6ac1c08a65b3dc2b058cf6a554474b7cad39e911f36e911b5755574db0c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Control charts</topic><topic>Markov chains</topic><topic>Nonparametric statistics</topic><topic>Process controls</topic><topic>Steady state</topic><toplevel>online_resources</toplevel><creatorcontrib>Pawar, Vilas Y</creatorcontrib><creatorcontrib>Shirke, Digambar Tukaram</creatorcontrib><creatorcontrib>Khilare, Shashikant Kuber</creatorcontrib><collection>CrossRef</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; 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>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Pakistan journal of statistics and operation research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pawar, Vilas Y</au><au>Shirke, Digambar Tukaram</au><au>Khilare, Shashikant Kuber</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Steady-State Behavior of Nonparametric Synthetic Control Chart Using Signed-Rank Statistic</atitle><jtitle>Pakistan journal of statistics and operation research</jtitle><date>2018-01-01</date><risdate>2018</risdate><volume>14</volume><issue>1</issue><spage>185</spage><pages>185-</pages><issn>1816-2711</issn><eissn>2220-5810</eissn><abstract>If process is running for a long period in an in-control condition, it will reach in a steady-state condition. In order to study the long term properties of a control chart, it is appropriate to investigate the steady-state average run length. In this paper we study zero-state and steady-state behaviour of a nonparametric synthetic control chart using signed-rank statistic. The zero-state average time to signal and steady-state average time to signal are computed using Markov chain approach. In Comparison study, steady-state average time to signal is compared with zero-state average time to signal for various symmetric distributions. Usefulness of the proposed control chart explored through by giving numerical example.</abstract><cop>Lahore</cop><pub>University of the Punjab, College of Statistical &amp; Actuarial Science</pub><doi>10.18187/pjsor.v14i1.2029</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1816-2711
ispartof Pakistan journal of statistics and operation research, 2018-01, Vol.14 (1), p.185
issn 1816-2711
2220-5810
language eng
recordid cdi_proquest_journals_2053538940
source EZB-FREE-00999 freely available EZB journals
subjects Control charts
Markov chains
Nonparametric statistics
Process controls
Steady state
title Steady-State Behavior of Nonparametric Synthetic Control Chart Using Signed-Rank Statistic
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T13%3A09%3A56IST&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=Steady-State%20Behavior%20of%20Nonparametric%20Synthetic%20Control%20Chart%20Using%20Signed-Rank%20Statistic&rft.jtitle=Pakistan%20journal%20of%20statistics%20and%20operation%20research&rft.au=Pawar,%20Vilas%20Y&rft.date=2018-01-01&rft.volume=14&rft.issue=1&rft.spage=185&rft.pages=185-&rft.issn=1816-2711&rft.eissn=2220-5810&rft_id=info:doi/10.18187/pjsor.v14i1.2029&rft_dat=%3Cproquest_cross%3E2053538940%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=2053538940&rft_id=info:pmid/&rfr_iscdi=true