Results 11 to 20 of about 2,000,076 (197)
Regional Incomes Structure Analysis in Slovak Republic On the Basis of EU-SILC Data
The paper deals with the regional incomes structure analysis in Slovak republic on the basis of European Union statistics on income and living conditions in Slovak republic data.
Terek Milan
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An Analysis of Household Income in Poland and Slovakia Based on Selected Income Models
Research background: Studies of income distributions may focus on describing empirical distributions by theoretical models. This approach can be useful for many reasons.
Trzcińska Kamila
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On a class of norms generated by nonnegative integrable distributions
We show that any distribution function on ℝd with nonnegative, nonzero and integrable marginal distributions can be characterized by a norm on ℝd+1, called F-norm. We characterize the set of F-norms and prove that pointwise convergence of a sequence of F-
Falk Michael, Stupfler Gilles
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On Goodness-of-Fit Tests for the Neyman Type A Distribution
The two-parameter Neyman type A distribution is quite useful for modeling count data, since it corresponds to a simple, flexible and overdispersed discrete distribution, which is also zero[1]inflated.
Apostolos Batsidis, Artur J. Lemonte
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Stochastic Aspects of Proportional Vitalities Model
In this paper, a family of models requiring proportional mean life vitalities is considered. The problem of estimation of the parameter(s) of the model is studied in two cases of known and unknown baselines along with some simulation studies to detect ...
Mansour Shrahili +3 more
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Introducing empirical and probabilistic regional envelope curves into a mixed bounded distribution function [PDF]
A novel approach to consider additional spatial information in flood frequency analyses, especially for the estimation of discharges with recurrence intervals larger than 100 years, is presented. For this purpose, large flood quantiles, i.e.
B. Guse, Th. Hofherr, B. Merz
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Asymptotically distribution-free goodness-of-fit testing for tail copulas [PDF]
Let $(X_1,Y_1),\ldots,(X_n,Y_n)$ be an i.i.d. sample from a bivariate distribution function that lies in the max-domain of attraction of an extreme value distribution.
Can, Sami Umut +3 more
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Empirical Likelihood Ratio Test With Distribution Function Constraints [PDF]
In this work, we study non-parametric hypothesis testing problem with distribution function constraints. The empirical likelihood ratio test has been widely used in testing problems with moment (in)equality constraints. However, some detection problems cannot be described using moment (in)equalities.
Liu, Yingxi, Tewfik, Ahmed
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Detection of changes in flow regime of rivers in Poland
The aim of this study is to detect changes in flow regime of rivers in Poland. On the basis of daily discharges recorded in 1951-2010 at 159 gauging stations located on 94 rivers regularities in the variability of the river flow characteristics in the ...
Wrzesiński Dariusz, Sobkowiak Leszek
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Mean relative entropy has a wide range of applications in measuring information differences. However, relative entropy is difficult to approximate from empirical distribution entropy.
Keqiang Dong, Shushu Li
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