Chernoff-type inequality and variance bounds
β 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
No coin nor oath required. For personal study only.
β¦ 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.
π SIMILAR VOLUMES
In this paper, we address questions dealing with characterizations based on Chernoff-type moment inequalities and their variants and establish, via the approach of Alharbi and Shanbhag [(1996)
## Some new bounds for the first inequality of Ostrowsld-Griiss type are derived. These new bounds can be much better than some recently obtained bounds. Applications in numerical integration are also given.