Practitioners guide on parametric, nonparametric, and semiparametric profile monitoring
Profile monitoring is one of the methods used in statistical process control (SPC) to understand the functional relationship between response and explanatory variables by tracking this relationship and estimating parameters. SPC is done in two phases: In Phase I, a statistical model is created and i...
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| Veröffentlicht in: | Quality and reliability engineering international 2021-04, Vol.37 (3), p.857-881 |
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| container_title | Quality and reliability engineering international |
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| creator | Jones, Chelsea L. Abdel‐Salam, Abdel‐Salam G. Mays, D'Arcy |
| description | Profile monitoring is one of the methods used in statistical process control (SPC) to understand the functional relationship between response and explanatory variables by tracking this relationship and estimating parameters. SPC is done in two phases: In Phase I, a statistical model is created and its parameters estimated using historical data. Phase II implements the statistical model and monitors the live ongoing process. Control charts are graphical tools used to monitor these functional relationships over time in both Phase I and Phase II. This study provides a step‐by‐step application for parametric, nonparametric, and semiparametric methods in profile monitoring and creates an in‐depth guideline with comparative analysis studies for novice practitioners. A comparative analysis under each distributional assumption is conducted for various control charts. |
| doi_str_mv | 10.1002/qre.2770 |
| format | Article |
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A comparative analysis under each distributional assumption is conducted for various control charts.</description><subject>Comparative analysis</subject><subject>Control charts</subject><subject>CUSUM</subject><subject>EWMA</subject><subject>Hotelling's T2</subject><subject>Monitoring</subject><subject>nonparametric</subject><subject>Nonparametric statistics</subject><subject>Parameter estimation</subject><subject>Process controls</subject><subject>profile monitoring</subject><subject>semiparametric</subject><subject>Statistical methods</subject><subject>Statistical models</subject><subject>Statistical process control</subject><issn>0748-8017</issn><issn>1099-1638</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp10MtKAzEUBuAgCtYq-AgDblw4mkwyk2QppV6g4AXFZchkTkpKJ2mTKdK3N7WCblyFEz7O5UfonOBrgnF1s45wXXGOD9CIYClL0lBxiEaYM1EKTPgxOklpgXHGUozQx3PUZnCDCx5iKuYb10ERfLHSUfcwRGeuCh_831L7rkjQu9-_YhWDdUso-uDdEKLz81N0ZPUywdnPO0bvd9O3yUM5e7p_nNzOSkNpg8u25sClFAbXnLS0BkY4sZVurK0Z0bSrKlF3QtsO25ZJxnBrAFrWGNpI2QAdo4t937zCegNpUIuwiT6PVBWTQkhaS5rV5V6ZGFKKYNUqul7HrSJY7WJTOTa1iy3Tck8_80Hbf516eZ1--y9ZbG9Y</recordid><startdate>202104</startdate><enddate>202104</enddate><creator>Jones, Chelsea L.</creator><creator>Abdel‐Salam, Abdel‐Salam G.</creator><creator>Mays, D'Arcy</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><orcidid>https://orcid.org/0000-0002-7103-5644</orcidid><orcidid>https://orcid.org/0000-0003-4905-6489</orcidid></search><sort><creationdate>202104</creationdate><title>Practitioners guide on parametric, nonparametric, and semiparametric profile monitoring</title><author>Jones, Chelsea L. ; Abdel‐Salam, Abdel‐Salam G. ; Mays, D'Arcy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3360-b57e7998c0571b35e4171f2a6ff541a3d2285d8afd0fb49440bceeb46c36996e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Comparative analysis</topic><topic>Control charts</topic><topic>CUSUM</topic><topic>EWMA</topic><topic>Hotelling's T2</topic><topic>Monitoring</topic><topic>nonparametric</topic><topic>Nonparametric statistics</topic><topic>Parameter estimation</topic><topic>Process controls</topic><topic>profile monitoring</topic><topic>semiparametric</topic><topic>Statistical methods</topic><topic>Statistical models</topic><topic>Statistical process control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jones, Chelsea L.</creatorcontrib><creatorcontrib>Abdel‐Salam, Abdel‐Salam G.</creatorcontrib><creatorcontrib>Mays, D'Arcy</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><jtitle>Quality and reliability engineering international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jones, Chelsea L.</au><au>Abdel‐Salam, Abdel‐Salam G.</au><au>Mays, D'Arcy</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Practitioners guide on parametric, nonparametric, and semiparametric profile monitoring</atitle><jtitle>Quality and reliability engineering international</jtitle><date>2021-04</date><risdate>2021</risdate><volume>37</volume><issue>3</issue><spage>857</spage><epage>881</epage><pages>857-881</pages><issn>0748-8017</issn><eissn>1099-1638</eissn><abstract>Profile monitoring is one of the methods used in statistical process control (SPC) to understand the functional relationship between response and explanatory variables by tracking this relationship and estimating parameters. 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| language | eng |
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| source | Wiley-Blackwell Journals |
| subjects | Comparative analysis Control charts CUSUM EWMA Hotelling's T2 Monitoring nonparametric Nonparametric statistics Parameter estimation Process controls profile monitoring semiparametric Statistical methods Statistical models Statistical process control |
| title | Practitioners guide on parametric, nonparametric, and semiparametric profile monitoring |
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