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
Some Inequalities for the Maximum of Partial Sums of Random Variables
✍ Scribed by J. Mogyoródi
- Publisher
- John Wiley and Sons
- Year
- 1975
- Tongue
- English
- Weight
- 623 KB
- Volume
- 70
- Category
- Article
- ISSN
- 0025-584X
No coin nor oath required. For personal study only.
✦ Synopsis
is non-decreasing. Thus, if one applies the c,-inequality, the inequality follows trivially. From this and from the preceding inequality we obtain By our condition the sums on the right hand side converge to 0 as n -+ + 00.
This proves the assertion.
Remarks. It is easy to see that for p > 2 our condition is better than PROKHOROV'S one. For 1 < p 5 2 the condition given in Theorem 4 is better than that of SZYNAL. Examples can be given to show that this is really the situation.
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