convolution;
mean order;
stochastic order;
hazard rate order;
likelihood ratio order;
majorization;
D O I:
10.1023/A:1009605613222
中图分类号:
O1 [数学];
学科分类号:
0701 ;
070101 ;
摘要:
Convolutions of independent random variables are usually compared. In this paper, after a synthetic comparison with respect to hazard rate ordering between sums of independent exponential random variables, we focus on the special case where one sum is identically distributed. So, for a given sum of n independent exponential random variables, we deduce the "best" Erlang-n bounds, with respect to each of the usual orderings: mean ordering, stochastic ordering, hazard rate ordering and likelihood ratio ordering.
机构:
Univ British Columbia, Dept Comp Sci, Vancouver, BC V5Z 1M9, CanadaUniv British Columbia, Dept Comp Sci, Vancouver, BC V5Z 1M9, Canada
Roosta-Khorasani, Farbod
Szekely, Gabor J.
论文数: 0引用数: 0
h-index: 0
机构:
Natl Sci Fdn, Arlington, VA 22230 USA
Hungarian Acad Sci, Alfred Renyi Inst Math, Budapest, HungaryUniv British Columbia, Dept Comp Sci, Vancouver, BC V5Z 1M9, Canada