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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

In many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of con

This book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topics and corresponding applicatio

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

In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts, describing and comparing