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AL-Hussaini, E.K., Nigm, A.M. and Jaheen, Z.F. (2001) Bayesian Prediction Based on Finite Mixtures of Lomax Components Model and Type I Censoring. Statistics, 35, 259-268.
http://dx.doi.org/10.1080/02331880108802735

has been cited by the following article:

• TITLE: Bayesian Prediction of Future Generalized Order Statistics from a Class of Finite Mixture Distributions

  AUTHORS: Abd EL-Baset A. Ahmad, Areej M. Al-Zaydi

  KEYWORDS: Generalized Order Statistics, Bayesian Prediction, Heterogeneous Population, Doubly Type II Censored Samples, One- and Two-Sample Schemes

  JOURNAL NAME: Open Journal of Statistics, Vol.5 No.6, October 28, 2015

  ABSTRACT: This article is concerned with the problem of prediction for the future generalized order statistics from a mixture of two general components based on doublytype II censored sample. We consider the one sample prediction and two sample prediction techniques. Bayesian prediction intervals for the median of future sample of generalized order statistics having odd and even sizes are obtained. Our results are specialized to ordinary order statistics and ordinary upper record values. A mixture of two Gompertz components model is given as an application. Numerical computations are given to illustrate the procedures.