{"title":"Simulation-Based Comparative Analysis of Nonparametric Control Charts with Runs-Type Rules","authors":"I. Triantafyllou","doi":"10.5772/intechopen.91040","DOIUrl":null,"url":null,"abstract":"In this chapter, we study well-known distribution-free Shewhart-type monitoring schemes based on order statistics. In order to empower the in- and out-of-control performance of the control charts being under consideration, several runs-type rules are enhanced. The simulation-based experimentation carried out reveals that the proposed schemes achieve remarkable efficiency for detecting possible shifts in the distribution of the underlying process.","PeriodicalId":194972,"journal":{"name":"Quality Control - Intelligent Manufacturing, Robust Design and Charts","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quality Control - Intelligent Manufacturing, Robust Design and Charts","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5772/intechopen.91040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this chapter, we study well-known distribution-free Shewhart-type monitoring schemes based on order statistics. In order to empower the in- and out-of-control performance of the control charts being under consideration, several runs-type rules are enhanced. The simulation-based experimentation carried out reveals that the proposed schemes achieve remarkable efficiency for detecting possible shifts in the distribution of the underlying process.