Robust Procedures for Estimating and Testing in the Framework of Divergence Measures
The scope of the contributions to this book will be to present new and original research papers based on MPHIE, MHD, and MDPDE, as well as test statistics based on these estimators from a theoretical and applied point of view in different statistical problems with special emphasis on robustness. Man...
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MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Online dostop: | ONIX_20220111_9783036514604_610 |
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| _version_ | 1869526669357744128 |
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| collection | Directory of Open Access Books |
| description | The scope of the contributions to this book will be to present new and original research papers based on MPHIE, MHD, and MDPDE, as well as test statistics based on these estimators from a theoretical and applied point of view in different statistical problems with special emphasis on robustness. Manuscripts given solutions to different statistical problems as model selection criteria based on divergence measures or in statistics for high-dimensional data with divergence measures as loss function are considered. Reviews making emphasis in the most recent state-of-the art in relation to the solution of statistical problems base on divergence measures are also presented. |
| format | Online |
| id | doab-20.500.12854ir-76875 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
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| spelling | doab-20.500.12854ir-768752024-03-27T16:34:41Z Robust Procedures for Estimating and Testing in the Framework of Divergence Measures Pardo, Leandro Martin, Nirian classification Bayes error rate Henze–Penrose divergence Friedman–Rafsky test statistic convergence rates bias and variance trade-off concentration bounds minimal spanning trees composite likelihood composite minimum density power divergence estimators model selection minimum pseudodistance estimation Robustness estimation of α monitoring numerical minimization S-estimation Tukey’s biweight integer-valued time series one-parameter exponential family minimum density power divergence estimator density power divergence robust change point test Galton-Watson branching processes with immigration Hellinger integrals power divergences Kullback-Leibler information distance/divergence relative entropy Renyi divergences epidemiology COVID-19 pandemic Bayesian decision making INARCH(1) model GLM model Bhattacharyya coefficient/distance time series of counts INGARCH model SPC CUSUM monitoring MDPDE contingency tables disparity mixed-scale data pearson residuals residual adjustment function robustness statistical distances Hellinger distance large deviations divergence measures rare event probabilities n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general The scope of the contributions to this book will be to present new and original research papers based on MPHIE, MHD, and MDPDE, as well as test statistics based on these estimators from a theoretical and applied point of view in different statistical problems with special emphasis on robustness. Manuscripts given solutions to different statistical problems as model selection criteria based on divergence measures or in statistics for high-dimensional data with divergence measures as loss function are considered. Reviews making emphasis in the most recent state-of-the art in relation to the solution of statistical problems base on divergence measures are also presented. 2022-01-11T13:44:48Z 2022-01-11T13:44:48Z 2021 book ONIX_20220111_9783036514604_610 9783036514604 9783036514598 https://directory.doabooks.org/handle/20.500.12854/76875 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4345 https://mdpi.com/books/pdfview/book/4345 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-1459-8 10.3390/books978-3-0365-1459-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036514604 9783036514598 333 Basel, Switzerland open access |
| spellingShingle | classification Bayes error rate Henze–Penrose divergence Friedman–Rafsky test statistic convergence rates bias and variance trade-off concentration bounds minimal spanning trees composite likelihood composite minimum density power divergence estimators model selection minimum pseudodistance estimation Robustness estimation of α monitoring numerical minimization S-estimation Tukey’s biweight integer-valued time series one-parameter exponential family minimum density power divergence estimator density power divergence robust change point test Galton-Watson branching processes with immigration Hellinger integrals power divergences Kullback-Leibler information distance/divergence relative entropy Renyi divergences epidemiology COVID-19 pandemic Bayesian decision making INARCH(1) model GLM model Bhattacharyya coefficient/distance time series of counts INGARCH model SPC CUSUM monitoring MDPDE contingency tables disparity mixed-scale data pearson residuals residual adjustment function robustness statistical distances Hellinger distance large deviations divergence measures rare event probabilities n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Robust Procedures for Estimating and Testing in the Framework of Divergence Measures |
| title | Robust Procedures for Estimating and Testing in the Framework of Divergence Measures |
| title_full | Robust Procedures for Estimating and Testing in the Framework of Divergence Measures |
| title_fullStr | Robust Procedures for Estimating and Testing in the Framework of Divergence Measures |
| title_full_unstemmed | Robust Procedures for Estimating and Testing in the Framework of Divergence Measures |
| title_short | Robust Procedures for Estimating and Testing in the Framework of Divergence Measures |
| title_sort | robust procedures for estimating and testing in the framework of divergence measures |
| topic | classification Bayes error rate Henze–Penrose divergence Friedman–Rafsky test statistic convergence rates bias and variance trade-off concentration bounds minimal spanning trees composite likelihood composite minimum density power divergence estimators model selection minimum pseudodistance estimation Robustness estimation of α monitoring numerical minimization S-estimation Tukey’s biweight integer-valued time series one-parameter exponential family minimum density power divergence estimator density power divergence robust change point test Galton-Watson branching processes with immigration Hellinger integrals power divergences Kullback-Leibler information distance/divergence relative entropy Renyi divergences epidemiology COVID-19 pandemic Bayesian decision making INARCH(1) model GLM model Bhattacharyya coefficient/distance time series of counts INGARCH model SPC CUSUM monitoring MDPDE contingency tables disparity mixed-scale data pearson residuals residual adjustment function robustness statistical distances Hellinger distance large deviations divergence measures rare event probabilities n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| topic_facet | classification Bayes error rate Henze–Penrose divergence Friedman–Rafsky test statistic convergence rates bias and variance trade-off concentration bounds minimal spanning trees composite likelihood composite minimum density power divergence estimators model selection minimum pseudodistance estimation Robustness estimation of α monitoring numerical minimization S-estimation Tukey’s biweight integer-valued time series one-parameter exponential family minimum density power divergence estimator density power divergence robust change point test Galton-Watson branching processes with immigration Hellinger integrals power divergences Kullback-Leibler information distance/divergence relative entropy Renyi divergences epidemiology COVID-19 pandemic Bayesian decision making INARCH(1) model GLM model Bhattacharyya coefficient/distance time series of counts INGARCH model SPC CUSUM monitoring MDPDE contingency tables disparity mixed-scale data pearson residuals residual adjustment function robustness statistical distances Hellinger distance large deviations divergence measures rare event probabilities n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| url | ONIX_20220111_9783036514604_610 |