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Chernoff-type inequality and variance bounds

✍ Scribed by B.L.S.Prakasa Rao; M. Sreehari


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
425 KB
Volume
63
Category
Article
ISSN
0378-3758

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✦ Synopsis


After a brief review of the work on Chemoff-type inequalities, bounds for the variance of functions g(X, Y) of a bivariate random vector (X, Y) are derived when the marginal distribution of X is normal, gamma, binomial, negative binomial or Poisson assuming that the variance of g(X, Y) is finite. These results follow as a consequence of Chemoff inequality, Stein-identity for the normal distribution and their analogues for other distributions as obtained by Cacoullos, Papathanasiou, Prakasa Rao, Sreehari among others. Some interesting inequalities in real analysis are derived as special cases. @ 1997 Elsevier Science B.V.


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