We give a comparison inequality that allows one to estimate the tail probabilities of sums of independent Banach space valued random variables in terms of those of independent identically distributed random variables. More precisely, let X 1 X n be independent Banach-valued random variables. Let I
On Stochastic Orders for Sums of Independent Random Variables
β Scribed by Ramesh M. Korwar
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 131 KB
- Volume
- 80
- Category
- Article
- ISSN
- 0047-259X
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β¦ Synopsis
In this paper, it is shown that a convolution of uniform distributions (a) is more dispersed and (b) has a smaller hazard rate when the scale parameters of the uniform distributions are more dispersed in the sense of majorization. It is also shown that a convolution of gamma distributions with a common shape parameter greater than 1 is larger in (a) likelihood ratio order and (b) dispersive order when the scale parameters are more dispersed in the sense of majorization.
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