Add to ORKGIn the present paper we prove a general theorem which gives the rates of convergence in distribution of asymptotically normal statistics based on samples of random size. The proof of the theorem uses the rates of convergences in distribution for the random size and for the statistics based on samples of nonrandom size
Sampling distinct units from a population with unequal probabilities without replacement is a proble...
AbstractThis part is concerned with the applications of the general limit theorems with rates of Par...
summary:In this paper the ideas of three types of statistical convergence of a sequence of random va...
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 distributio...
Due to the stochastic character of the intensities of information flows in high performance informat...
Due to the stochastic character of the intensities of information flows in high performance informat...
Abstract. This note gives the convergence rate in the central limit theorem and the random central l...
Let (Xn)n[epsilon] be a sequence of real, independent, not necessarily identically distributed rando...
AbstractIn this paper we continue our investigation of recent notions of λ-statistical convergence i...
Bolthausen E, Götze F. THE RATE OF CONVERGENCE FOR MULTIVARIATE SAMPLING STATISTICS. ANNALS OF STATI...
Let X-1, ..., X-n be i.i.d. random observations. Let S = L + T be a U-statistic of order k >= 2 wher...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
Sampling distinct units from a population with unequal probabilities without replacement is a proble...
Abstract We establish the rate of convergence of distributions of sums of independent iden-tically d...
Sampling distinct units from a population with unequal probabilities without replacement is a proble...
AbstractThis part is concerned with the applications of the general limit theorems with rates of Par...
summary:In this paper the ideas of three types of statistical convergence of a sequence of random va...
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 distributio...
Due to the stochastic character of the intensities of information flows in high performance informat...
Due to the stochastic character of the intensities of information flows in high performance informat...
Abstract. This note gives the convergence rate in the central limit theorem and the random central l...
Let (Xn)n[epsilon] be a sequence of real, independent, not necessarily identically distributed rando...
AbstractIn this paper we continue our investigation of recent notions of λ-statistical convergence i...
Bolthausen E, Götze F. THE RATE OF CONVERGENCE FOR MULTIVARIATE SAMPLING STATISTICS. ANNALS OF STATI...
Let X-1, ..., X-n be i.i.d. random observations. Let S = L + T be a U-statistic of order k >= 2 wher...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
Sampling distinct units from a population with unequal probabilities without replacement is a proble...
Abstract We establish the rate of convergence of distributions of sums of independent iden-tically d...
Sampling distinct units from a population with unequal probabilities without replacement is a proble...
AbstractThis part is concerned with the applications of the general limit theorems with rates of Par...
summary:In this paper the ideas of three types of statistical convergence of a sequence of random va...