A multivariate p-chart with a suggestion for measurement error correction | ||
| Journal of Statistical Modelling: Theory and Applications | ||
| دوره 4، شماره 2، مهر 2023، صفحه 119-130 اصل مقاله (140.59 K) | ||
| نوع مقاله: Original Scientific Paper | ||
| شناسه دیجیتال (DOI): 10.22034/jsmta.2024.21426.1136 | ||
| نویسندگان | ||
| Shohreh Enami* 1؛ Hamzeh Torabi2 | ||
| 1Department of Statistics, Payame Noor University, Tehran, Iran | ||
| 2Department of Statistics, Yazd University, Yazd, Iran | ||
| چکیده | ||
| This study aims to introduce a new multivariate p-chart using a structure of the multivariate Bernoulli distribution. In this structure, we consider a class of dependent Bernoulli variables where the conditional success probability is a linear combination of the last few trials and the original success probability. The efficiency of the proposed control chart is investigated in terms of the average run length criterion with two approaches. Also, the issue of misclassification and measurement error in binary random variables is discussed, and another control chart based on the corrected proportion of non-conforming products is proposed. | ||
| کلیدواژهها | ||
| Multivariate Bernouli distribution؛ Multivariate p-chart؛ Average run length؛ Misclassification | ||
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آمار تعداد مشاهده مقاله: 100 تعداد دریافت فایل اصل مقاله: 65 |
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