Schur properties of convolutions of exponential and geometric random variables
Journal of Multivariate Analysis
Stochastic orders for spacings of heterogeneous exponential random variables
Journal of Multivariate Analysis
Some new results on stochastic comparisons of spacings from heterogeneous exponential distributions
Journal of Multivariate Analysis
On stochastic orders for sums of independent random variables
Journal of Multivariate Analysis
Mixture representation for order statistics from INID progressive censoring and its applications
Journal of Multivariate Analysis
Hazard rate comparison of parallel systems with heterogeneous gamma components
Journal of Multivariate Analysis
Likelihood ratio order of spacings from two heterogeneous samples
Journal of Multivariate Analysis
Hi-index | 0.00 |
Let (X1, X2, ..., Xn) and (Y1, Y2, ..., Yn) be gamma random vectors with common shape parameter α(01,λ2,...,λn), (µ1,µ2,...,µn), respectively. Let X() = (X(1), X(2)..., X(n)), Y() = (Y(1), Y(2),...,Y(n)) be the order statistics of (X1, X2,...,Xn) and (Y1, Y2,...,Yn). Then (λ1, λ2,...,λn) majorizes (µ1, µ2,...,µn) implies that X() is stochastically larger than Y(). However if the common shape parameter α1, we can only compare the the first-and last-order statistics. Some earlier results on stochastically comparing proportional hazard functions are shown to be special cases of our results.