Abstract: This paper presents some limit theorems for arbitrary continuous random sequence, like many previous works, the theorems directly gives the concept logarithmic likelihood ratio, as a measure of dissimilarity between one distribution and the reference distributions. In particularly, we give lower and upper bounds for the deviation under Chung−Teicher’s type conditions
AbstractThe paper deals with limit theorems for probabilities of large deviations for sums of indepe...
A branching process counted by a random characteristic has been defined as a process which at time t...
We prove that the distribution of the sum of N identically distributed jointly lognormal random vari...
This study gives detailed proofs of some limit theorems in probability which are important in theore...
AbstractWe obtain limit theorems for likelihood ratio and cumulative sums tests. In the case of the ...
By means of the notion of likelihood ratio, the limit properties of the sequences of arbitrary-depen...
The results of W. Richter (Theory Prob. Appl. (1957) 2 206-219) on sums of independent, identically ...
The investigation objects are the sums and other functions from random elements depending upon the r...
In this paper we derive limit theorems of some general functions of independent and identically dist...
Many statistical problems can be reformulated in terms of tests of uniformity. Some strong laws of l...
The paper deals with random variables which are the values of independent identically distributed st...
We prove an almost sure random version of a maximum limit theorem, using logarithmic means for \(\ma...
Abstract In this paper, we study the ratios of order statistics based on samples drawn from uniform ...
The creation of the integral asymptotical theory of random sequences with independent random indexes...
The series of necessary and sufficient conditions of convergence for sum distributions of weak depen...
AbstractThe paper deals with limit theorems for probabilities of large deviations for sums of indepe...
A branching process counted by a random characteristic has been defined as a process which at time t...
We prove that the distribution of the sum of N identically distributed jointly lognormal random vari...
This study gives detailed proofs of some limit theorems in probability which are important in theore...
AbstractWe obtain limit theorems for likelihood ratio and cumulative sums tests. In the case of the ...
By means of the notion of likelihood ratio, the limit properties of the sequences of arbitrary-depen...
The results of W. Richter (Theory Prob. Appl. (1957) 2 206-219) on sums of independent, identically ...
The investigation objects are the sums and other functions from random elements depending upon the r...
In this paper we derive limit theorems of some general functions of independent and identically dist...
Many statistical problems can be reformulated in terms of tests of uniformity. Some strong laws of l...
The paper deals with random variables which are the values of independent identically distributed st...
We prove an almost sure random version of a maximum limit theorem, using logarithmic means for \(\ma...
Abstract In this paper, we study the ratios of order statistics based on samples drawn from uniform ...
The creation of the integral asymptotical theory of random sequences with independent random indexes...
The series of necessary and sufficient conditions of convergence for sum distributions of weak depen...
AbstractThe paper deals with limit theorems for probabilities of large deviations for sums of indepe...
A branching process counted by a random characteristic has been defined as a process which at time t...
We prove that the distribution of the sum of N identically distributed jointly lognormal random vari...