A Characterization of Exponential Distributions Based on Order Statistics.
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C.B. Bell, Y. Rama Krishna Sarma (1980)
Metrika
Ondřej Vencálek, Daniel Hlubinka (2021)
Kybernetika
We propose a new nonparametric procedure to solve the problem of classifying objects represented by -dimensional vectors into groups. The newly proposed classifier was inspired by the nearest neighbour (kNN) method. It is based on the idea of a depth-based distributional neighbourhood and is called nearest depth neighbours (kNDN) classifier. The kNDN classifier has several desirable properties: in contrast to the classical kNN, it can utilize global properties of the considered distributions...
D. Bitouzé, B. Laurent, P. Massart (1999)
Annales de l'I.H.P. Probabilités et statistiques
Ng, Michael K. (2002)
Electronic Journal of Mathematical and Physical Sciences (EJMAPS)
U. Kamps (1991)
Metrika
Deo, Chandrakant M. (1976)
Portugaliae mathematica
Petr Volf (1988)
Kybernetika
Antonín Lukš (1983)
Aplikace matematiky
The author applies the test criterion of P. Rothety to the statistical analysis of the positive correclation of symmetric pairs of observations. In this particular case he arrives at some new results. His work ends with a general proof of the consistency of Rothery's test.
R. Szekli (1987)
Applicationes Mathematicae
Marek Kałuszka, Andrzej Okolewski (2011)
Applicationes Mathematicae
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.
Mohammad Z. Raqab, Wael A. Amin (1997)
Metrika
W. Dziubdziela (1976)
Applicationes Mathematicae
Martikainen, A.I. (2004)
Zapiski Nauchnykh Seminarov POMI
František Rublík (2001)
Applications of Mathematics
A test statistic for testing goodness-of-fit of the Cauchy distribution is presented. It is a quadratic form of the first and of the last order statistic and its matrix is the inverse of the asymptotic covariance matrix of the quantile difference statistic. The distribution of the presented test statistic does not depend on the parameter of the sampled Cauchy distribution. The paper contains critical constants for this test statistic, obtained from simulations for each sample size considered....
S. Rao Jammalamadaka, M.T. Wells (1988)
Metrika
Udo Kamps, Lutz Mattner (1993)
Metrika
M.M. Mohie El-Din, S.E. Abu-Youssef, K.S. Sultan (1996)
Metrika
Michel Talagrand (1996)
Annales de l'I.H.P. Probabilités et statistiques
L. Weiss (1991)
Metrika
R.D. Reiss (1978)
Metrika
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