Information Measures and some Distribution Approximations.
Journal Title: JOURNAL OF ADVANCES IN MATHEMATICS - Year 2014, Vol 6, Issue 3
Abstract
The Fisher and Kullback- Liebler information measures were calculated from the approximation of a binomial distribution by both the Poisson and the normal distributions and are applied to the approximation of a Poisson distribution by a normal distribution. In this paper the concept of relative loss in information due to approximating the distribution of a random variable by that of another distribution of is introduced, and this concept is used to determine the value of the sample size for which the relative loss in information measure is less than a given level .
Authors and Affiliations
Eihab B. M. Bashier, Mohammed E. M. Gobar, Adnan M. Awad
Keywords
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- EP ID EP651234
- DOI 10.24297/jam.v6i3.7243
- Views 175
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