Statistical Inference Based on Divergence Measures

Discover the fascinating world of statistical inference with Statistical Inference Based on Divergence Measures by Leandro Pardo. Published by Taylor & Francis Inc in 2005, this comprehensive hardback edition spans 512 pages, making it an essential read for statisticians, mathematicians, and data scientists alike.

This insightful book tackles classical challenges in statistical inference, including estimation and hypothesis testing, through the lens of entropy and divergence measures. It provides valuable applications to multinomial and generation populations, making complex concepts accessible and applicable.

Pardo introduces innovative minimum divergence estimators and divergence test statistics, offering readers a fresh perspective on these critical topics. Whether you're delving into multivariate analysis or enhancing your understanding of probability and statistics, this book serves as an indispensable resource on your academic journey.