Abstract Setting aside experimental costs, the choice of an experiment is usually formulated
in terms of the maximization of a measure of information, often presented as an optimality …

A broad class of local divergences between two probability measures or between the
respective probability distributions is proposed in this paper. The introduced local …

The aim of this work is to investigate a new family of divergence measures based on the
recently introduced Basu, Harris, Hjort and Jones (BHHJ) measure of divergence …

This paper concentrates on the fundamental concepts of entropy, information and
divergence to the case where the distribution function and the respective survival function …

Fisher's information number is the second moment of the “score function” where the
derivative is with respect to x rather than Θ. It is Fisher's information for a location parameter …

In this paper we unify the different measures of divergence by introducing a general class of
measures of divergence, the (Φ, a)− power divergence family and investigate its main …

The problem of goodness of fit of a lognormal distribution is usually reduced to testing
goodness of fit of the logarithmic data to a normal distribution. In this paper, new goodness …

This study critically analyses the information-theoretic, axiomatic and combinatorial
philosophical bases of the entropy and cross-entropy concepts. The combinatorial basis is …

Pickands dependence function is the basis of extreme value copulas which formulate the
extreme dependence between random variables. Exact forms of cumulative entropy and …

Mathematics Subject Classification (2000): 03E72, 05A10, 05C80, 11B65, 11K45, 37A50,
37E25, 37N40, 58E17, 60A10, 60B12, 60E05, 60E07, 60F05, 60F17, 60G05, 60G15 …