Variance upper bounds and a probability inequality for discrete α-unimodality
Applicationes Mathematicae (2000)
- Volume: 27, Issue: 4, page 403-410
- ISSN: 1233-7234
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topAgeel, M.. "Variance upper bounds and a probability inequality for discrete α-unimodality." Applicationes Mathematicae 27.4 (2000): 403-410. <http://eudml.org/doc/219283>.
@article{Ageel2000,
abstract = {Variance upper bounds for discrete α-unimodal distributions defined on a finite support are established. These bounds depend on the support and the unimodality index α. They increase as the unimodality index α increases. More information about the underlying distributions yields tighter upper bounds for the variance. A parameter-free Bernstein-type upper bound is derived for the probability that the sum S of n independent and identically distributed discrete α-unimodal random variables exceeds its mean E(S) by a positive value nt. The bound for P\{S-nμ ≥ nt\} depends on the range of the summands, the sample size n, the unimodality index α and the positive number t.},
author = {Ageel, M.},
journal = {Applicationes Mathematicae},
keywords = {probability inequality; variance; upper and lower bounds; discrete unimodality},
language = {eng},
number = {4},
pages = {403-410},
title = {Variance upper bounds and a probability inequality for discrete α-unimodality},
url = {http://eudml.org/doc/219283},
volume = {27},
year = {2000},
}
TY - JOUR
AU - Ageel, M.
TI - Variance upper bounds and a probability inequality for discrete α-unimodality
JO - Applicationes Mathematicae
PY - 2000
VL - 27
IS - 4
SP - 403
EP - 410
AB - Variance upper bounds for discrete α-unimodal distributions defined on a finite support are established. These bounds depend on the support and the unimodality index α. They increase as the unimodality index α increases. More information about the underlying distributions yields tighter upper bounds for the variance. A parameter-free Bernstein-type upper bound is derived for the probability that the sum S of n independent and identically distributed discrete α-unimodal random variables exceeds its mean E(S) by a positive value nt. The bound for P{S-nμ ≥ nt} depends on the range of the summands, the sample size n, the unimodality index α and the positive number t.
LA - eng
KW - probability inequality; variance; upper and lower bounds; discrete unimodality
UR - http://eudml.org/doc/219283
ER -
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