This book presents new and original research in Statistical Information Theory, based on minimum divergence estimators and test statistics, from a theoretical a

This book presents new and original research in Statistical Information Theory, based on minimum divergence estimators and test statistics, from a theoretical a

The idea of using functionals of Information Theory, such as entropies or divergences, in statistical inference is not new. However, in spite of the fact that d

Since the introduction of the information measure widely known as Shannon entropy, quantifiers based on information theory and concepts such as entropic forms a

Highly useful text studies logarithmic measures of information and their application to testing statistical hypotheses. Includes numerous worked examples and pr