Abstract. This note gives the convergence rate in the central limit theorem and the random central limit theorem of some functions of the average of independent random variables. lection and preliminaries. Let {X,, k 2 1) be a sequence of random vakiables and put A s, = C x,. k = 1 We are interested in finding estimates of the convergence rate in where g denotes a real function, c, and d,> ' O are normalizing constants depending on g, D denotes weak convergence, and Na,, a normal random variable with mean a and standard deviation b. To give our results, which are an extension of some considerations in [6], we need the following notation, lemmas, and theorems. Let C ( R) be the class of all continuous functions and let C,(R) stan...
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...
Götze F. ON THE RATE OF CONVERGENCE IN THE CENTRAL-LIMIT-THEOREM IN BANACH-SPACES. ANNALS OF PROBABI...
Let F_n(x) denote the distribution of the normalized partial sum of independent random variables wit...
Let F_n(x) denote the distribution of the normalized partial sum of independent random variables wit...
AbstractLet (Xj, j ≥ 1) be a strictly stationary sequence of uniformly mixing random variables with ...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
Let (Xn)n[epsilon] be a sequence of real, independent, not necessarily identically distributed rando...
Abstract. Statistical version of the central limit theorem (CLT) with random matrix normalization is...
s | be independent and identically distributed random variables with zero mean, unit variance and fi...
Let (Xi} be a sequence of independent, identically-distributed random variables with EX2i \u3c ꝏ and...
AbstractLet X̄ denote the mean of a consecutive sequence of length n from an autoregression or movin...
Let X denote the mean of a consecutive sequence of length n from an autoregression or moving average...
We consider a random number Nn of m-dependent random variables Xk with a common distribution and the...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
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...
Götze F. ON THE RATE OF CONVERGENCE IN THE CENTRAL-LIMIT-THEOREM IN BANACH-SPACES. ANNALS OF PROBABI...
Let F_n(x) denote the distribution of the normalized partial sum of independent random variables wit...
Let F_n(x) denote the distribution of the normalized partial sum of independent random variables wit...
AbstractLet (Xj, j ≥ 1) be a strictly stationary sequence of uniformly mixing random variables with ...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
Let (Xn)n[epsilon] be a sequence of real, independent, not necessarily identically distributed rando...
Abstract. Statistical version of the central limit theorem (CLT) with random matrix normalization is...
s | be independent and identically distributed random variables with zero mean, unit variance and fi...
Let (Xi} be a sequence of independent, identically-distributed random variables with EX2i \u3c ꝏ and...
AbstractLet X̄ denote the mean of a consecutive sequence of length n from an autoregression or movin...
Let X denote the mean of a consecutive sequence of length n from an autoregression or moving average...
We consider a random number Nn of m-dependent random variables Xk with a common distribution and the...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
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...
Götze F. ON THE RATE OF CONVERGENCE IN THE CENTRAL-LIMIT-THEOREM IN BANACH-SPACES. ANNALS OF PROBABI...