Statistical Inference The Minimum Distance Approach
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 adju...
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| Hlavní autoři: | , , |
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| Médium: | E-kniha Kniha |
| Jazyk: | angličtina |
| Vydáno: |
Boca Raton
Chapman and Hall/CRC
2011
CRC Press, Taylor & Francis Group CRC Press LLC Chapman & Hall CRC Press |
| Vydání: | 1 |
| Edice: | Chapman & Hall/CRC Monographs on Statistics and Applied Probability |
| Témata: | |
| ISBN: | 9781420099652, 1420099655 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | 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. |
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| Bibliografie: | Includes bibliographical references (p. 373-402) and index |
| ISBN: | 9781420099652 1420099655 |
| DOI: | 10.1201/b10956 |

