مشخصات پژوهش

عنوان	Confidence regions for the parameters of an inverted exponentiated Pareto distribution based on progressively Type-II censored samples
نوع پژوهش	مقاله ارائه شده
کلیدواژه‌ها	Confidence region, inverted exponentiated Pareto distribution, Progressive Type_-II censoring, Optimization
چکیده	In this article, based on progressively type-II censored order statistics, we create bal- anced con dence regions (BCR) and optimal con dence 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.
پژوهشگران	اکبر اصغر زاده (نفر دوم)، سید فاضل باقری (نفر اول)