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 divergence statistics have become a very good alternative to the classical likelihood ratio test and the Pearson-type statistic in discrete models, many statisticians remain unaware of this powerful approach. Statistical Inference Based on Divergence Measures explores classical problems of statistical inference, such as estimation and hypothesis testing, on the basis ...
Read More
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 divergence statistics have become a very good alternative to the classical likelihood ratio test and the Pearson-type statistic in discrete models, many statisticians remain unaware of this powerful approach. Statistical Inference Based on Divergence Measures explores classical problems of statistical inference, such as estimation and hypothesis testing, on the basis of measures of entropy and divergence. The first two chapters form an overview, from a statistical perspective, of the most important measures of entropy and divergence and study their properties. The author then examines the statistical analysis of discrete multivariate data with emphasis is on problems in contingency tables and loglinear models using phi-divergence test statistics as well as minimum phi-divergence estimators. The final chapter looks at testing in general populations, presenting the interesting possibility of introducing alternative test statistics to classical ones like Wald, Rao, and likelihood ratio. Each chapter concludes with exercises that clarify the theoretical results and present additional results that complement the main discussions. Clear, comprehensive, and logically developed, this book offers a unique opportunity to gain not only a new perspective on some standard statistics problems, but the tools to put it into practice.
Read Less
Add this copy of Statistical Inference Based on Divergence Measures to cart. $43.14, good condition, Sold by Paperbackshop rated 4.0 out of 5 stars, ships from Bensenville, IL, UNITED STATES, published 2005 by CRC Press.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Good. Used Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from the UK.
Add this copy of Statistical Inference Based on Divergence Measures to cart. $99.78, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 2020 by Routledge.
Add this copy of Statistical Inference Based on Divergence Measures to cart. $125.00, very good condition, Sold by Boards and Wraps rated 2.0 out of 5 stars, ships from Baltimore, MD, UNITED STATES, published 2005 by Chapman and Hall/CRC.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Very Good+ with no dust jacket. 1584886005. Light rubbing and toning overall. Interior pages clean and unmarked. A tight and very clean copy. Photos upon request. International shipping billed at cost.; Statistics: A Series Of Textbooks And Monographs; 8vo 8"-9" tall; 512 pages.
Add this copy of Statistical Inference Based on Divergence Measures to cart. $178.92, like new condition, Sold by Monarchy Books rated 4.0 out of 5 stars, ships from Toronto, ON, CANADA, published 2005 by Chapman and Hall/CRC.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Fine. Size: 9x6x1; No Gift Inscription Or Remarks Inside, 492 Pages With The Index. In Fine Condition. Hardcover. 2006. Pictorial Boards. Specializing in academic, collectible and historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us.