Statistical Inference
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Statistical Inference
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Description
This book gives a comprehensive account of density-based minimum distance methods and their use in statistical inference. It covers statistical distances, density-based minimum distance methods, discrete and continuous models, asymptotic distributions, robustness, computational issues, residual adjustment functions, graphical descriptions of robustness, penalized and combined distances, multisample methods, weighted likelihood, and multinomial goodness-of-fit tests. The book also introduces the minimum distance methodology in interdisciplinary areas, such as neural networks and image processing, as well as specialized models and problems, including regression, mixture models, survival and Bayesian analysis, and more.
Product details
- Type:
- Book
- Edition:
- Illustrated
- Languages:
-
Original:
English
- Number of Pages:
-
430
- Publisher:
-
Chapman and Hall/CRC
- Publication Date:
-
2011-06-22
- Release Date:
-
2011-06-16
- ISBN / EAN:
-
9781420099652
- Weight:
-
807 g
- Dimensions:
-
16/24/3 cm
- GPSR Manufacturer Reference:
-
[email protected]
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