1403/02/08
اکبر اصغر زاده

اکبر اصغر زاده

مرتبه علمی: استاد
ارکید:
تحصیلات: دکترای تخصصی
اسکاپوس:
دانشکده: دانشکده علوم ریاضی
نشانی:
تلفن: 011-54302476

مشخصات پژوهش

عنوان
Optimal confidence regions for the two-parameter exponential distribution based on records
نوع پژوهش
JournalPaper
کلیدواژه‌ها
Constrained optimization · Lagrangian method · Joint confidence regions
سال
2020
مجله COMPUTATIONAL STATISTICS
شناسه DOI
پژوهشگران Akbar Asgharzadeh ، S. F. Bagheri ، N. A. Ibrahim ، M. R. Abubakar

چکیده

In this article, we propose two families of optimal confidence regions for the location and scale parameters of the two-parameter exponential distribution based on upper records. Constrained optimization problems are used to find the smallest-area confidence regions for the exponential parameterswith a specified confidence level. Optimal prediction interval for the future records is also proposed. Two numerical examples as well as a simulation study, are presented for illustrative purposes. It is shown that the reduction in area of the optimal joint confidence region with respect to the existing confidence regions is substantial.