Add to ORKGThe new investigation method based on the stability of one differential equation which is the characterized one for approximating distribution has been proposed. The optimal distributions with accuracy up to the logariphmic multilayer have been obtained for many dependent values being important both for development of the theory of summing the dependent values and for different statistical application of the circuits. The results can be applied in solving different problems of the probability theory and mathematical statistics.Available from VNTIC / VNTIC - Scientific & Technical Information Centre of RussiaSIGLERURussian Federatio
In this thesis, the convergence analysis of a class of weak approximations of solutions of stochasti...
Sums of independent and dependent random values, martingales are considered in the paper aiming at t...
AbstractLet Mn denote the partial maximum of an independent and identically distributed lognormal ra...
The series of necessary and sufficient conditions of convergence for sum distributions of weak depen...
© 2014, Pleiades Publishing, Ltd. A new condition for a weak dependence of random variables is deter...
© 2014, Pleiades Publishing, Ltd. A new condition for a weak dependence of random variables is deter...
© 2014, Pleiades Publishing, Ltd. A new condition for a weak dependence of random variables is deter...
AbstractThis part is concerned with the applications of the general limit theorems with rates of Par...
© Published under licence by IOP Publishing Ltd. There is considered the generalized Bernoulli tests...
© Published under licence by IOP Publishing Ltd. There is considered the generalized Bernoulli tests...
This part is concerned with the applications of the general limit theorems with rates of Part I, ach...
We consider a special class of weak dependent random variables with control on covariances of Lipsc...
We consider a special class of weak dependent random variables with control on covariances of Lipsc...
This book provides a thorough exposition of the main concepts and results related to various types o...
This paper deals with empirical processes of the type Cn(B) = n^(1/2) {µn(B) - P(Xn+1 in B | X1, . ....
In this thesis, the convergence analysis of a class of weak approximations of solutions of stochasti...
Sums of independent and dependent random values, martingales are considered in the paper aiming at t...
AbstractLet Mn denote the partial maximum of an independent and identically distributed lognormal ra...
The series of necessary and sufficient conditions of convergence for sum distributions of weak depen...
© 2014, Pleiades Publishing, Ltd. A new condition for a weak dependence of random variables is deter...
© 2014, Pleiades Publishing, Ltd. A new condition for a weak dependence of random variables is deter...
© 2014, Pleiades Publishing, Ltd. A new condition for a weak dependence of random variables is deter...
AbstractThis part is concerned with the applications of the general limit theorems with rates of Par...
© Published under licence by IOP Publishing Ltd. There is considered the generalized Bernoulli tests...
© Published under licence by IOP Publishing Ltd. There is considered the generalized Bernoulli tests...
This part is concerned with the applications of the general limit theorems with rates of Part I, ach...
We consider a special class of weak dependent random variables with control on covariances of Lipsc...
We consider a special class of weak dependent random variables with control on covariances of Lipsc...
This book provides a thorough exposition of the main concepts and results related to various types o...
This paper deals with empirical processes of the type Cn(B) = n^(1/2) {µn(B) - P(Xn+1 in B | X1, . ....
In this thesis, the convergence analysis of a class of weak approximations of solutions of stochasti...
Sums of independent and dependent random values, martingales are considered in the paper aiming at t...
AbstractLet Mn denote the partial maximum of an independent and identically distributed lognormal ra...