Statistical Inference Based on Divergence Measures
Download or Read eBook Statistical Inference Based on Divergence Measures PDF written by Leandro Pardo and published by CRC Press. This book was released on 2018-11-12 with total page 513 pages. Available in PDF, EPUB and Kindle.
| Author | : Leandro Pardo |
| Publisher | : CRC Press |
| Total Pages | : 513 |
| Release | : 2018-11-12 |
| ISBN-10 | : 9781420034813 |
| ISBN-13 | : 1420034812 |
| Rating | : 4/5 (13 Downloads) |
Book Synopsis Statistical Inference Based on Divergence Measures by : Leandro Pardo
Book excerpt: 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 p
