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E-Bayesian estimation of parameters of inverse Weibull distribution based on a unified hybrid censoring scheme | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 35، دوره 12، شماره 1، مرداد 2021، صفحه 461-471 اصل مقاله (431.04 K) | ||
| نوع مقاله: Review articles | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.4825 | ||
| نویسندگان | ||
| Shahram Yaghoubzadeh Shahrestani1؛ Reza Zarei2؛ Parviz Malekzadeh* 3 | ||
| 1Department of Statistics, Payame Noor University, P. O. Box 19395-4697, Tehran, Iran | ||
| 2Department of Statistics, Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran | ||
| 3Department of Statistics, Faculty of Mathematics, Statistics and Computer Science, Semnan University, Semnan, Iran | ||
| تاریخ دریافت: 23 اردیبهشت 1399، تاریخ بازنگری: 30 دی 1399، تاریخ پذیرش: 14 بهمن 1399 | ||
| چکیده | ||
| The combination of generalization Type-I hybrid censoring and generalization Type-II hybrid censoring schemes create a new censoring called a unified hybrid censoring scheme. Therefore, in this study, the E-Bayesian estimation of parameters of the inverse Weibull distribution is obtained under the unified hybrid censoring scheme, and the efficiency of the proposed method was compared with the Bayesian estimator using Monte Carlo simulation and a real data set. | ||
| کلیدواژه‌ها | ||
| E-Bayesian estimation؛ Unified hybrid censoring scheme؛ Inverse Weibull distribution؛ LINEX loss function | ||
| مراجع | ||
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