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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
Here on GlowMirror, you'll find Statistical Inference Based on Divergence Measures filed under Chapman and Hall/CRC -- everything you need to know is covered below.
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 available in English on GlowMirror.
Who is the author of Statistical Inference Based on Divergence Measures?
Statistical Inference Based on Divergence Measures is authored by Leandro Pardo.
Who published Statistical Inference Based on Divergence Measures?
Statistical Inference Based on Divergence Measures is published by Chapman and Hall/CRC.
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Page count information for Statistical Inference Based on Divergence Measures is available in the specifications section of this page.
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At an average reading speed of 250 words per minute, reading Statistical Inference Based on Divergence Measures takes a few hours to a few days depending on reading pace.
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?
Whether Statistical Inference Based on Divergence Measures is suitable for beginners depends on your background in Chapman and Hall/CRC. Review the product description and specifications above for details on the target audience and difficulty level.
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