Statistical Inference Based on Divergence Measures

Discover the innovative approach to statistical inference in Statistical Inference Based on Divergence Measures by Leandro Pardo Llorente. Published by Taylor & Francis Ltd in 2020, this comprehensive paperback spans 512 pages and delves into classical problems such as estimation and hypothesis testing. What sets this book apart is its unique focus on measures of entropy and divergence, providing a fresh perspective on applications relevant to multinomial and generational populations.

Structured systematically, this insightful work not only addresses fundamental statistical concepts but also introduces advanced techniques based on divergence measures. Whether you're a student, researcher, or practitioner in the field of mathematics, this book is an essential resource for enhancing your understanding of statistical inference. Enhance your library with this valuable addition today!