مشخصات پژوهش

عنوان	Maximum Likelihood Estimation for Progressively First-failure Censored Kumaraswamy Data
نوع پژوهش	مقاله ارائه‌شده
کلیدواژه‌ها	Kumaraswamy distribution, Maximum likelihood method, Progressive censoring, Progressive first-failure censoring
چکیده	In this article, we consider the estimation of the parameters and reliability characteristics of Kumaraswamy distribution using progressively first-failure censored samples. We derive the maximum likelihood estimates using expectation-maximization (EM) algorithm. Simulation studies are conducted in order to evaluate the performance of the point estimators
پژوهشگران	سمیه غفوری (نفر اول)