Mohamed T. Madi

TL;DR: In this paper, a modified maximum likelihood method and a Bayesian technique are used to estimate R on the basis of independent complete samples, and the Bayes estimator cannot be obtained in explicit form, and therefore it has been determined using an importance sampling procedure.

TL;DR: In this paper, the authors collected the views of just under 250 UAE-based HRM personnel, in order to identify which factors (social, cultural, economic, regulatory, educational and motivational) are most significant as cited in relevant literature.

TL;DR: In this paper, the Bayesian estimation and prediction for the generalized exponential (GE) distribution, using informative priors, have been considered, and the Gibbs and Metropolis samplers data sets are used to predict the behavior of further observations from the distribution.

TL;DR: In this paper, the authors extend Fernandez's work to include the estimation of the predictive distribution of the total time on test up to a certain failure in a future sample, as well as that of the remaining testing time time until all the items in the original sample have failed.

TL;DR: In this article, the authors address the problem of Bayesian prediction of future Pareto records drawn from a sequential sample of independent and identically distributed random variables, and the Bayesian predictive distribution is developed for future records and the corresponding highest posterior density (HPD)-prediction intervals are established.