Bounds for tail probabilities of the sample variance.
Bentkus, V., Van Zuijlen, M. (2009)
Journal of Inequalities and Applications [electronic only]
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Bentkus, V., Van Zuijlen, M. (2009)
Journal of Inequalities and Applications [electronic only]
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Goldstein, Larry, Shao, Qi-Man (2009)
Electronic Communications in Probability [electronic only]
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De La Peña, Victor H., Pang, Guodong (2009)
Electronic Communications in Probability [electronic only]
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Dembo, Amir, Shao, Qi-Man (2006)
Electronic Communications in Probability [electronic only]
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Simos G. Meintanis, George Iliopoulos (2003)
Kybernetika
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Two characterizations of the exponential distribution among distributions with support the nonnegative real axis are presented. The characterizations are based on certain properties of the characteristic function of the exponential random variable. Counterexamples concerning more general possible versions of the characterizations are given.
Nicolas Vayatis (2003)
Annales de l'I.H.P. Probabilités et statistiques
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Harald Niederreiter, Józef Horbowicz (1988)
Colloquium Mathematicae
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Iosif Pinelis (2014)
Annales de l'I.H.P. Probabilités et statistiques
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The well-known Bennett–Hoeffding bound for sums of independent random variables is refined, by taking into account positive-part third moments, and at that significantly improved by using, instead of the class of all increasing exponential functions, a much larger class of generalized moment functions. The resulting bounds have certain optimality properties. The results can be extended in a standard manner to (the maximal functions of) (super)martingales. The proof of the main result...
Sung, Soo Hak (2009)
Journal of Inequalities and Applications [electronic only]
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Souto Martinez, Alexandre, Silva González, Rodrigo, Sangaletti Terçariol, César Augusto (2009)
Advances in Mathematical Physics
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