On two theorems of Bartoszewicz
K. Sarkadi (1980)
Applicationes Mathematicae
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K. Sarkadi (1980)
Applicationes Mathematicae
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(1948)
Aktuárské vědy
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Marek Kałuszka, Andrzej Okolewski (2011)
Applicationes Mathematicae
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We present a first moment distribution-free bound on expected values of L-statistics as well as properties of some numerical characteristics of order statistics, in the case when the observations are possibly dependent symmetrically distributed about the common mean. An actuarial interpretation of the presented bound is indicated.
von Collani, Elart (2014)
Serdica Journal of Computing
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Statistics has penetrated almost all branches of science and all areas of human endeavor. At the same time, statistics is not only misunderstood, misused and abused to a frightening extent, but it is also often much disliked by students in colleges and universities. This lecture discusses/covers/addresses the historical development of statistics, aiming at identifying the most important turning points that led to the present state of statistics and at answering the questions “What went...
Eddy, Nnabuk O. (2007)
APPS. Applied Sciences
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Mohammad Z. Raqab (2006)
Applicationes Mathematicae
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We provide sharp upper bounds for the mean of the future order statistics based on observed r order statistics. These bounds are expressed in terms of various scale units. We also determine the probability distributions for which the bounds are attained.
Gadasina, L.V. (2005)
Zapiski Nauchnykh Seminarov POMI
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Ali İ. Genç (2015)
Discussiones Mathematicae Probability and Statistics
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We derive an explicit expression for the single moments of order statistics from the generalized t (GT) distribution. We also derive an expression for the product moment of any two order statistics from the same distribution. Then the location-scale estimating problem of a real data set is solved alternatively by the best linear unbiased estimates which are based on the moments of order statistics.
Jean Bretagnolle (2010)
ESAIM: Probability and Statistics
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We prove a new large deviation inequality with applications when projecting a density on a wavelet basis.
L. Weiss (1991)
Metrika
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Jef L. Teugels, Giovanni Vanroelen (2002)
Publications de l'Institut Mathématique
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