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In this paper the distribution of the rth concomitant and joint distribution of rth and sth concomitants of order statistics for bivariate Pseudo-Weibull distribution has been obtained. Moments and joint moments have also been obtained for the resulting distributions.
In this paper we have obtained the distribution of concomitant of order statistics for Bivariate Pseudo-Exponential distribution. The expression for moments has also been obtained. We have found that only the fractional moments of the distribution exist. The tables for survival function and hazard function has also been obtained.
In this paper the Bivariate Pseudo–Weibull distribution has been defined as a compound distribution of two random variables to model the failure rate of component reliability. The distribution of r–th concomitant and joint distribution of r–th and s–th concomitant of record statistics of the resulting distribution have been derived. Single and product… (More)
The weighted Weibull model is proposed following the method of Azzalini (1985). Basic properties of the distribution including moments, generating function, hazard rate function and estimation of parameters have been studied.
In this paper we have defined the trivariate pseudo Rayleigh distribution as compound distribution of three random variables. Certain properties of the distribution have been studied. The distribution of a pair of concomitants of order statistics for proposed distribution has also been derived.
A new class of probability distributions known as Bivariate Pseudo-Rayleigh distribution has been defined. The common properties of the distribution have been discussed. Distribution of r-th order statistics and the concomitants has also been obtained. Survival analysis for the joint distribution and concomitants has also been discussed.
The trivarite Pseudo-Weibull distribution has been proposed. Some distributional properties of the distribution has been studied. The distribution of two concomitants has been obtained. The conditional distribution of one concomitant given the information of other has also been obtained. Moments of the resulting distributions has been computed. 1.… (More)
In this paper the Erlang-truncated exponential distribution is characterized by the conditional expectation of the record values. The utility of our result is demonstrated in mean residual life by using this characterization.