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Zapiski Nauchnykh Seminarov POMI, 2007, Volume 341, Pages 220–228
(Mi znsl146)
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Maximum likelihood estimator: the nonparametric approach
C. Hubera, V. N. Solevb, I. Vontac a Université René Descartes
b St. Petersburg Department of V. A. Steklov Institute of Mathematics, Russian Academy of Sciences
c University of Cyprus
Abstract:
In the paper the maximum likelihood estimator for unknown density is investigated. We deal with censored observations and construct a confidence region for this density.
Received: 06.12.2006
Citation:
C. Huber, V. N. Solev, I. Vonta, “Maximum likelihood estimator: the nonparametric approach”, Probability and statistics. Part 11, Zap. Nauchn. Sem. POMI, 341, POMI, St. Petersburg, 2007, 220–228; J. Math. Sci. (N. Y.), 147:4 (2007), 6975–6979
Linking options:
https://www.mathnet.ru/eng/znsl146 https://www.mathnet.ru/eng/znsl/v341/p220
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Abstract page: | 241 | Full-text PDF : | 78 | References: | 50 |
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