کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8901865 1631948 2018 34 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Inference of progressively censored competing risks data from Kumaraswamy distributions
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
Inference of progressively censored competing risks data from Kumaraswamy distributions
چکیده انگلیسی
A competing risks model based on Kumaraswamy distribution is discussed under progressive censoring. When the latent lifetime model of failure causes features different and common parameters, maximum likelihood estimates for unknown parameters are established where the existence and uniqueness of the estimates are provided, and the approximate confidence intervals are also constructed via the observed fisher information matrix. Moreover, Bayes estimates and associated highest posterior density credible intervals are also obtained based on Monte-Carlo Markov chain sampling methods. In addition, to test the equivalence of parameters between the competing risks, likelihood ratio test is also proposed. Finally, simulation studies and real-life example are presented for illustration purpose.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational and Applied Mathematics - Volume 343, 1 December 2018, Pages 719-736
نویسندگان
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