Abstract
This paper studies the minimum probability that distributions on a closed, bounded, non-degenerate interval can assign to its open sub-intervals when both the mean and variance are specified. It extends to this case Selberg's generalization of Tchebycheff's inequality.
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References
Isii, K. (1960). The extrema of probability determined by generalized momments. I. Bounded random variables,Ann. Inst. Statist. Math.,12, 119–134.
Karlin, S. and Studden, W. J. (1966).Tchebycheff Systems; with Applications in Analysis and Statistics, Interscience, New York.
Kemperman, J. H. B. (1968). The general moment problem, a geometric approach,Ann. Math. Statist.,39, 93–122.
Selberg, H. L. (1940). Zwei Ungleichungen zur Ergänzung des Techebycheffschen Lemmas,Skand. Aktuarietidskrift,23, 121–125.
Skibinsky, M. (1977). The maximum probability on an interval when the mean and variance are known.Sankhya,39, A, 144–159.
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Skibinsky, M. The minimum probability on an interval when the mean and variance are known. Ann Inst Stat Math 32, 377–385 (1980). https://doi.org/10.1007/BF02480342
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DOI: https://doi.org/10.1007/BF02480342