期刊
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
卷 47, 期 7, 页码 1615-1640出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/03610926.2017.1322702
关键词
Bayes estimates; EM algorithm; hybrid type I censoring; maximum likelihood estimates; Metropolis-Hastings algorithm; prediction; 62N02
In this paper we consider estimation of unknown parameters of an inverted exponentiated Rayleigh distribution when it is known that data are hybrid Type I censored. The maximum likelihood and Bayes estimates are derived. In sequel interval estimates are also constructed. We further consider one- and two-sample prediction of future observations and also obtain prediction intervals. The performance of proposed methods of estimation and prediction is studied using simulations and an illustrative example is discussed in support of the suggested methods.
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