on properties of dependent general progressively type-ii censored order statistics
Authors
abstract
in the literature of life-testing, general progressive censoring has been studied extensively. but, all the results have been developed under the key assumption that the units undertest are independently distributed. in this paper, we study general progressively type-ii censored order statistics arising from identical units under test which are jointly distributed according to an archimedean copula with completely monotone generator (gpcosarcm-ii). density, distribution and joint density functions of gpcosarcm-ii are all derived. finally, some examples of gpcosarcm-ii are provided.
similar resources
On properties of dependent general progressively type-II censored order statistics
In the literature of life-testing, general progressive censoring has been studied extensively. But, all the results have been developed under the key assumption that the units undertest are independently distributed. In this paper, we study general progressively Type-II censored order statistics arising from identical units under test which are jointly distributed according to an Archimedean co...
full textProgressive Type II Censored Order Statistics and their Concomitants: Some Stochastic Comparisons Results
In this paper we prove some stochastic comparisons results for progressive type II censored order statistics. The problem of stochastically comparing concomitants of the two progressive type II censored order statistics with possibly different schemes, under different kinds of dependence between X and Y is considered and it is proved that if Y is stochastically increasing (decreasing) in X, ...
full textOn Progressively Type-II Censored Two-parameter Rayleigh Distribution
Recently, Rayleigh distribution has received considerable attention in the statistical literature. In this paper, we consider the point and interval estimation of the functions of the unknown parameters of a two-parameter Rayleigh distribution. First, we obtain the maximum likelihood estimators (MLEs) of the unknown parameters. The MLEs cannot be obtained in explicit forms, and we propose to us...
full textProgressive Type II censored order statistics for multivariate observations
For a sequence of independent and identically distributed random vectorsXi = (X1 i , X2 i , . . . , X i ), i = 1, 2, . . . , n, we consider the conditional ordering of these random vectors with respect to the magnitudes of N(Xi ), i = 1, 2, . . . , n, where N is a p-variate continuous function defined on the support set of X1 and satisfying certain regularity conditions. We also consider the Pr...
full textProgressive type II censored order statistics from exponential distributions
Abstract. In the model of progressive type II censoring, point and interval estimation as well as relations for single and product moments are considered. Based on two-parameter exponential distributions, maximum likelihood estimators (MLEs), uniformly minimum variance unbiased estimators (UMVUEs) and best linear unbiased estimators (BLUEs) are derived for both location and scale parameters. So...
full textInference for a Skew Normal Distribution Based on Progressively Type-II Censored Samples
In many industrial experiments involving lifetimes of machines or units, experiments have to be terminated early or the number of experiments must be limited due to a variety of circumstances (e.g. when expensive, etc.) the samples that arise from such experiments are called censored data. Cohen (1991) was one of the earliest to study a more general censoring scheme called progressive censor...
full textMy Resources
Save resource for easier access later
Journal title:
bulletin of the iranian mathematical societyPublisher: iranian mathematical society (ims)
ISSN 1017-060X
volume 41
issue 5 2015
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023