شماره ركورد كنفرانس :
5470
عنوان مقاله :
Confidence regions for the parameters of an inverted exponentiated Pareto distribution based on progressively Type-II censored samples
پديدآورندگان :
Bagheri SF bagheri_s.fazel@yahoo.com Department of Statistics, Faculty of Mathematical Sciences, University of Mazandaran, Babolsar, Iran , Asgharzadeh A a.asgharzadeh@umz.ac.ir Department of Statistics, Faculty of Mathematical Sciences, University of Mazandaran, Babolsar, Iran
كليدواژه :
Confidence region , Inverted exponentiated Pareto distribution , Progressively Type , II censored , Optimization , Monte Carlo
عنوان كنفرانس :
نهمين سمينار تخصصي نظريه قابليت اعتماد و كاربردهاي آن
چكيده فارسي :
In this article, based on progressively type-II censored order statistics, we create balanced confidence regions (BCR) and optimal confidence regions (OCR) for the parameters of an inverted exponentiated Pareto (IEP) distribution. Constraint optimization problem and nonlinear programmings methods are used in order to construct OCRs. Monte Carlo simulation studies are used to evaluate the performance of the methods proposed in this paper. Finally, a numerical example is presented to illustrate the proposed regions.
