Add to ORKGDue to the stochastic character of the intensities of information flows in high performance information systems, the size of data available for the statistical analysis can be often regarded as random. In the paper general theorem concerning the asymptotic expansions of the distribution function of the statistics based on the sample of random size was proved. Some examples are presented for the cases where the sample size has the negative binomial or discrete Pareto distributions. © ECMS Zita Zoltay Paprika, Péter Horák, Kata Váradi,Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics (Editors)
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Due to the stochastic character of the intensities of information flows in high performance informat...
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When the amount of information passing through a channel is estimated on the basis of a sample, situ...
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The target of this paper is to discuss the existent difference of Asymptotic Theory in Statistics co...
We present a sharp estimate of the accuracy of Poisson approximation and asymptotic expansions in th...
We present a sharp estimate of the accuracy of Poisson approximation and asymptotic expansions in th...
This brief note summarizes some important results in asymptotic theory in probability. The main moti...
This is the fourth article in a series of surveys devoted to the scientific achievements of the Lenin...
Due to the stochastic character of the intensities of information flows in high performance informat...
In the present paper we prove a general theorem which gives the rates of convergence in distribution...
In the present paper we prove a general theorem which gives the rates of convergence in distribution...
Summary: "In the paper we consider asymptotic deficiencies of some estimators constructed from sampl...
In the paper, we discuss the transformation of the asymptotic expansion for the distribution of a st...
In the paper, we discuss the transformation of the asymptotic expansion for the distribution of a st...
In the present paper we prove a general theorem which gives the rates of convergence in distributio...
Consider informative selection of a sample from a finite population. Responses are realized as iid r...
When the amount of information passing through a channel is estimated on the basis of a sample, situ...
Fbr statistical applications it is necessary to investigate the limit distributions of the functions...
The target of this paper is to discuss the existent difference of Asymptotic Theory in Statistics co...
We present a sharp estimate of the accuracy of Poisson approximation and asymptotic expansions in th...
We present a sharp estimate of the accuracy of Poisson approximation and asymptotic expansions in th...
This brief note summarizes some important results in asymptotic theory in probability. The main moti...
This is the fourth article in a series of surveys devoted to the scientific achievements of the Lenin...