summary:Let $\{X_k\}^\infty_{k=1}$ be a sequence of independent zero-one random variables (rv) with $P(X_k=1)=\frac{1}{2} + \Delta$. Then we define the binary random number (brn) $Y=\sum^\infty_{k=1} X_k2^{-k}$. An ideal generator produces 0 and 1 with equal probability, but a real one does it only approximately. The purpose of this paper is to find distribution of brn for $-\frac{1}{2}<\Delta <\frac{1}{2}$ (also $\Delta =\Delta_k$). Particularly, convergence of the normed sum of brn to normally distributed rv is studied by means of Edgeworth expansion
Abstract. Let {Xn, n 1} be a sequence of independent random variables with finite second moments an...
Let R = Rn denote the total (and unconditional) number of runs of successes or failures in a sequenc...
Abstract. Let (ξk)k≥1 be a sequence of independent, identically distributed second order mean zero r...
summary:Let $\{X_k\}^\infty_{k=1}$ be a sequence of independent zero-one random variables (rv) with ...
summary:Let $\{X_k\}^\infty_{k=1}$ be a sequence of independent zero-one random variables (rv) with ...
Let (Xn)n[epsilon] be a sequence of real, independent, not necessarily identically distributed rando...
The first aim of this paper is to show how to present a random variable with the beta distribution (...
summary:In this note we investigate the relationship between the convergence of the sequence $\{S_{n...
ABSTRACT: Consider sequences {Xi}∞i=1 and {Yj}∞j=1 of independent and identically distributed (i.i.d...
The central limit theorem for a normalized summation of random number of i.i.d. random variables is ...
The central limit theorem for a normalized summation of random number of i.i.d. random variables is ...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
The central limit theorem for a normalized summation of random number of i.i.d. random variables is ...
Let (Sn)n≥0 be a $\mathbb Z$-random walk and $(\xi_{x})_{x\in \mathbb Z}$ be a sequence of independe...
The paper deals with sums of independent and identically distributed random variables defined on som...
Abstract. Let {Xn, n 1} be a sequence of independent random variables with finite second moments an...
Let R = Rn denote the total (and unconditional) number of runs of successes or failures in a sequenc...
Abstract. Let (ξk)k≥1 be a sequence of independent, identically distributed second order mean zero r...
summary:Let $\{X_k\}^\infty_{k=1}$ be a sequence of independent zero-one random variables (rv) with ...
summary:Let $\{X_k\}^\infty_{k=1}$ be a sequence of independent zero-one random variables (rv) with ...
Let (Xn)n[epsilon] be a sequence of real, independent, not necessarily identically distributed rando...
The first aim of this paper is to show how to present a random variable with the beta distribution (...
summary:In this note we investigate the relationship between the convergence of the sequence $\{S_{n...
ABSTRACT: Consider sequences {Xi}∞i=1 and {Yj}∞j=1 of independent and identically distributed (i.i.d...
The central limit theorem for a normalized summation of random number of i.i.d. random variables is ...
The central limit theorem for a normalized summation of random number of i.i.d. random variables is ...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
The central limit theorem for a normalized summation of random number of i.i.d. random variables is ...
Let (Sn)n≥0 be a $\mathbb Z$-random walk and $(\xi_{x})_{x\in \mathbb Z}$ be a sequence of independe...
The paper deals with sums of independent and identically distributed random variables defined on som...
Abstract. Let {Xn, n 1} be a sequence of independent random variables with finite second moments an...
Let R = Rn denote the total (and unconditional) number of runs of successes or failures in a sequenc...
Abstract. Let (ξk)k≥1 be a sequence of independent, identically distributed second order mean zero r...