On Extended Exponential Weighted Moving Average Control Charts for Monitoring Mean of a Process

dc.contributor.authorAqsa Hussain
dc.contributor.authorSP19-RST-001
dc.contributor.authorLHR TP 6535
dc.contributor.authorDr. Aamir Sanaullah
dc.date.accessioned2026-04-02T10:22:01Z
dc.date.issued2020
dc.description.abstractIn chapter 1, the introduction about statistical process control, control charts and use of auxiliary information in control charts has been explained. Further in chapter 1, objectives of control charts also described. Objectives of the proposed study explained in chapter 1. In chapter 2, literature about some existing EWMA-type control charts has been provided. Various works of EWMA-type control charts using auxiliary information have also been specified in chapter 2. In chapter 3, an extended-EWMA control chart by Naveed et al. (2018) has been discussed. Further a EWMA control chart based on the auxiliary variable due to Abbas et al. (2014) for mean has been deliberated. In chapter 4, we are working on EEWMA control chart by using an auxiliary information for improving the efficiency of an extended-EWMA control chart due to Naveed et al. (2018), and then comparison of the proposed EEWMA with the existing EEWMA and EWMA control charts is presented. In chapter 5, we propose EEWMA sub-group mean control charts for mean with or without using auxiliary information to detect smaller shifts earlier. Comparison with the previous control charts is also done in this chapter. Finally it is shown that the proposed EEWMA control charts are more efficient as compare to the existing control charts of literature
dc.identifier.urihttps://repository.cuilahore.edu.pk/handle/123456789/3173
dc.language.isoen
dc.publisherLibrary Information Services, COMSATS University Islamabad, Lahore Campus
dc.relation.ispartofseriesLHR TP 6535
dc.subjectDr. Aamir Sanaullah
dc.subjectsp19
dc.subjectDepartment of Statistics
dc.subjectSOCIAL SCIENCES::Statistics, computer and systems science::Statistics
dc.subjectEEWMA
dc.titleOn Extended Exponential Weighted Moving Average Control Charts for Monitoring Mean of a Process
dc.typeThesis

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