Statistical Inference Based on Divergence Measures
| Author | : Leandro Pardo |
| Publisher | : CRC Press |
| Total Pages | : 513 |
| Release | : 2018-11-12 |
| ISBN-10 | : 9781420034813 |
| ISBN-13 | : 1420034812 |
| Rating | : 4/5 (812 Downloads) |
Book Synopsis Statistical Inference Based on Divergence Measures by : Leandro Pardo
Download or read book Statistical Inference Based on Divergence Measures 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. 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
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