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A likelihood control chart for monitoring bivariate lifetime processes | ||
| Journal of Mahani Mathematical Research | ||
| دوره 11، شماره 2 - شماره پیاپی 22، مرداد 2022، صفحه 97-118 اصل مقاله (619.31 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22103/jmmrc.2022.19093.1209 | ||
| نویسندگان | ||
| Zainab Abbasi Ganji* 1؛ Bahram Sadeghpour Gildeh2 | ||
| 1Khorasan Razavi Agricultural and Natural research and Education center, Mashhad, Iran | ||
| 2Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran | ||
| چکیده | ||
| In this survey, two new control charts CCLR and CCALR for bivariate exponential variables by dependence structure based on Farlie-Gumbel-Morgenstern copula model are introduced. Simulation study is done to make a comparison between two proposed control charts in terms of average run length (ARL). Results show that the CCALR performs better than CCLR. A numerical example is provided to fortify the theoretical findings. | ||
| کلیدواژه‌ها | ||
| Control chart؛ Bivariate exponential distribution؛ Farlie-Gumbel-Morgenstern copula؛ Likelihood ratio test؛ Average run length | ||
| مراجع | ||
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