On the functional relationship between entropy and variance with related applications

Autor: Makarand V. Ratnaparkhi, Debabrata Mukher jee
Rok vydání: 1986
Předmět:
Zdroj: Communications in Statistics - Theory and Methods. 15:291-311
ISSN: 0361-0926
DOI: 10.1080/03610928608829122
Popis: The functional relationship between entropy and variance is investigated for some well-known distributions. The distributions considered here are the reparameterized versions of the original forms. Such a reparameterization is necessary as in each case we have a common variance. The related graphs of entropy as a function of variance are used for certain comparisons. Further, within the class of distributions having a common variance, a measure of affinity between these distributions is proposed using entropy. A few aspects of the sampling distributions of an estimator of entropy, when the samples are either from the normal or from the exponential distributions, are discussed with a view to possible applications in the testing of hypotheses for related parameters
Databáze: OpenAIRE