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Statistical Inference Based on Divergence Measures (English, Leandro Pardo)
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Specifications
| Publisher | Chapman and Hall/CRC |
| Language | English |
| ISBN-13 | 9781584886006 |
| ISBN-10 | 1584886005 |
| Author | Leandro Pardo |
Product Description
About the Book
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…
ISBN: 9781584886006
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Statistical Inference Based on Divergence Measures
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Chapman and Hall/CRC
Who Should Read This
Students and professionals interested in Chapman and Hall/CRC, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Statistical Inference Based on Divergence Measures explores classical problems of… ISBN: 9781584886006
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Statistical Inference Based on Divergence Measures is authored by Leandro Pardo.
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What is Statistical Inference Based on Divergence Measures about?
About the Book
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 statis...
Is Statistical Inference Based on Divergence Measures suitable for beginners?
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