Statistical inference based on k-records
سال انتشار: 1387
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 458
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شناسه ملی سند علمی:
JR_IJNAO-1-1_006
تاریخ نمایه سازی: 6 شهریور 1396
چکیده مقاله:
In this paper, an extension of record models, well known as k-records, is considered. Bayesian estimation as well as prediction based on k-records are presented when the underlying distribution is assumed to have a general form. The proposed procedure is applied to the Exponential, Weibull and Pareto models in one parameter case. Also, the two-parameter Exponential distribution, when both parameters are unknown, is studied in more details.Since the ordinary record values are contained in the k-records, by putting k = 1, the results for usual records can be obtained as special case.
کلیدواژه ها:
نویسندگان
J Ahmadi
Department of Statistics, Ferdowsi University of Mashhad, Mashhad
m Doostparast
Department of Statistics, Ferdowsi University of Mashhad, Mashhad