In this paper, the Bayesian prediction intervals (BPI ′s) of future generalized order statistics are obtained under a mixture of two components of generalized exponential distributions in case of one and two-sample schemes. Based on a type-II censored sample from a real data set, the BPI ′s of the remaining observations are obtained. Mathematics Subject Classification: 62F10; 62F15; 62N01; 62N02

This article accentuates the estimation of a two-parameter generalized Topp-Leone distribution using dual order statistics (dgos). In part estimation, we obtain maximum likelihood (ML) estimates and approximate confidence intervals model parameters dgos, in particular, based on lower record values. The Bayes estimate is derived with respect to squared error loss function gamma priors. highest p...

In this paper, we derived recurrence relations for joint moment generating functions of nonadjacent generalized order statistics (GOS) of random samples drawn from doubly truncated class of continuous distributions. Recurrence relations for joint moments of nonadjacent GOS (ordinary order statistics (OOS) and k-upper records (k-RVs) as special cases) are obtained. Single and product moment gene...

A new calculus of nuclear liquid-gas phase transition in the standard thermostatistics is applied to the generalized thermo-statistics. Because the phase equilibrium is de…ned in terms of intensive temperature and conjugate extensive entropy, we have to solve higher-order simultaneous nonlinear equations than those in the standard thermo-statistics. The features of phase transition are essentia...

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In this paper, the concomitants of case-II of generalized order statistics from Farlie-Gumbel-Morgenstern (FGM) distributions and recurrence relations between their moments are studied. Further, we provide the minimum variance linear unbiased estimator of the location and scale parameters of the concomitants of ordinary order statistics from some distributions.

The progressive censoring scheme is a method of data collecting in reliability and life testing which has been of intensified interest in recent years. In the present paper, we prove some characterization results on generalized Pareto distribution based upon the independency and expected values of some functions of progressive type-II right censored order statistics.