Browsing by Author "Papadatos, Nickos"
Now showing items 1-20 of 26
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An application of a density transform and the local limit theorem
Cacoullos, Theophilos; Papadatos, Nickos; Papathanasiou, Vassilis (2002)Consider an absolutely continuous random variable X with finite variance σ2. It is known that there exists another random variable X* (which can be viewed as a transformation of X) with a unimodal density, satisfying the ...
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Bounds on expectation of order statistics from a finite population
Balakrishnan, N.; Charalambides, Charalambos A.; Papadatos, Nickos (2003)Consider a simple random sample X1,X2,...,Xn, taken without replacement from a finite ordered population ∏ = {x1 ≤ x2 ≤ ⋯ ≤ XN} (n ≤ N), where each element of ∏ has equal probability to be chosen in the sample. Let X1:n ≤ ...
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Bounds on expectations of L-statistics from without replacement samples
Papadatos, Nickos; Rychlik, T. (2004)Consider a simple random sample taken without replacement from a finite ordered population, where each element of the population has equal probability to be chosen in the sample. In the present paper, the best possible ...
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Characterizations of discrete distributions using the Rao-Rubin condition
Papadatos, Nickos (2005)Consider the multivariate splitting model N = N1 + ⋯ + Nk, where N1,..., Nk, k ≥ 3, are arbitrary (not necessarily independent) random variables (r.v.'s) taking values in ℕ = {0, 1,...}, and assume that the Rao-Rubin ...
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The discrete Mohr and Noll inequality with applications to variance bounds
Afendras, Georgios; Papadatos, Nickos; Papathanasiou, Vassilis (2007)In this paper, we provide Poincaré-type upper and lower variance bounds for a function g(X) of a discrete integer-valued random variable (r.v.) X, in terms of the (forward) differences of g up io some order. To this end, ...
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Distribution and expectation bounds on order statistics from possibly dependent variates
Papadatos, Nickos (2001)Let X1,X2,...,Xn be n random variables with an arbitrary n-variate distribution. We say that the X's are maximally (resp. minimally) stable of order j(j∈{1,2,...,n}), if the distribution F(j) of max{Xk1,...,Xkj} (resp. ...
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Exact bounds for the expectations of order statistics from non-negative populations
Papadatos, Nickos (1997)Some new exact bounds for the expected values of order statistics, under the assumption that the parent population is non-negative, are obtained in terms of the population mean. Similar bounds for the differences of any ...
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Expectation bounds on linear estimators from dependent samples
Papadatos, Nickos (2001)Let X1,X2,...,Xn be a sample of arbitrary, possibly dependent, random variables, with possibly different marginal distributions, and denote by X1:n≤X2:n≤≤Xn:n the corresponding order statistics. Using the notation μi=EXi ...
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An extended Stein-type covariance identity for the Pearson family with applications to lower variance bounds
Afendras, Georgios; Papadatos, Nickos; Papathanasiou, Vassilis (2011)For an absolutely continuous (integer-valued) r.v. X of the Pearson (Ord) family, we show that, under natural moment conditions, a Stein-type covariance identity of order k holds (cf. [Goldstein and Reinert, J. Theoret. ...
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An extension of the disc algebra, II
Nestoridis, Vassilis; Papadatos, Nickos (2014)We identify the complex plane with the open unit disc by the homeomorphism. This leads to a compactification of, homeomorphic to. The Euclidean metric on induces a metric on. We identify all uniform limits of polynomials ...
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A generalization of variance bounds
Papadatos, Nickos; Papathanasiou, Vassilis (1996)Upper and lower bounds for the variance of a random variable are obtained in terms of the density-quantile function. Some applications of these bounds to order statistics are given.
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Heteroscedastic one-way ANOVA and lack-of-fit tests
Akritas, Michael G.; Papadatos, Nickos (2004)Recent articles have considered the asymptotic behavior of the one-way analysis of variance (ANOVA) F statistic when the number of levels or groups is large. In these articles, the results were obtained under the assumption ...
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Intermediate order statistics with applications to nonparametric estimation
Papadatos, Nickos (1995)A generalization of order statistics, is presented. Using this generalization, nonparametric confidence intervals are constructed for the quantiles of an absolutely continuous distribution. Finally, an application, concerning ...
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Linear estimation of location and scale parameters using partial maxima
Papadatos, Nickos (2012)Consider an i. i. d. sample X 1*, X 2*,..., X n*, from a location-scale family, and assume that the only available observations consist of the partial maxima (or minima) sequence, X 1:1*,X 2:2*,..., X n:n*, where X j:j* = ...
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Maximizing the expected range from dependent observations under mean–variance information
Papadatos, Nickos (2016)In this article we derive the best possible upper bound for E[maxi{Xi} − mini{Xi}] under given means and variances on n random variables Xi. The random vector (X1, . . . , Xn) is allowed to have any dependence structure, ...
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Maximum variance of order statistics
Papadatos, Nickos (1995)Yang (1982, Bull. Inst. Math. Acad. Sinica, 10(2), 197-204) proved that the variance of the sample median cannot exceed the population variance. In this paper, the upper bound for the variance of order statistics is derived, ...
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A note on maximum variance of order statistics from symmetric populations
Papadatos, Nickos (1997)The maximum variance of order statistics from a symmetrical parent population is obtained in terms of the population variance. The proof is based on a suitable representation for the variance of order statistics in terms ...
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On matrix variance inequalities
Afendras, Georgios; Papadatos, Nickos (2011)Olkin and Shepp [2005, A matrix variance inequality. J. Statist. Plann. Inference 130, 351-358] presented a matrix form of Chernoff's inequality for Normal and Gamma (univariate) distributions. We extend and generalize ...
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Poisson approximation for a sum of dependent indicators: An alternative approach
Papadatos, Nickos; Papathanasiou, Vassilis (2002)The random variables X1, X2,...,Xn are said to be totally negatively dependent (TND) if and only if the random variables Xi and Σj≠i Xj are negatively quadrant dependent for all i. Our main result provides, for TND 0-1 ...
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Self-inverse and exchangeable random variables
Cacoullos, Theophilos; Papadatos, Nickos (2013)A random variable Z will be called self-inverse if it has the same distribution as its reciprocal Z -1. It is shown that if Z is defined as a ratio, X / Y, of two rv's X and Y (with P[X=0]=P[Y=0]=0), then Z is self-inverse ...