Optimality in Type-II Progressive Censoring: Bayesian Approach Under the General Entropy Loss Function

سال انتشار: 1402
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 229

فایل این مقاله در 5 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

ICIORS16_362

تاریخ نمایه سازی: 2 اسفند 1402

چکیده مقاله:

Here, we consider the progressive Type-II censoring, and the sample size is determined by considering two criteria in a Bayesian prediction problem. The first criterion is the Bayes risk function of the point predictor for a future progressively censored order statistic. The second criterion is the cost of experiment designing. In the Bayesian prediction, the general entropy loss function is considered. We find the optimal sample size such that the Bayes risk function and the cost of the experiment are bounded. To show the usefulness of the results, some numerical computations are presented.

کلیدواژه ها:

General Entropy Loss Function ، Cost Function ، Optimization Problem ، Bayes Risk

نویسندگان

Elham Basiri

Department of Mathematics and Applications, Kosar University of Bojnord.

S.M.T.K MirMostafaee

Department of Statistics, University of Mazandaran.