ABSTRACT. Under uniform integrability condition, some Weak Laws of large numbers are established for weighted sums of random variables generalizing results of Rohatgi, Pruitt and Khintchine. Some Strong Laws of Large Numbers are proved for weighted sums of pairwise independent random variables generalizing results of Jamison, Orey and Pruitt and Etemadi. KEY WORDS AND PHRASES. Independent and pairwise independent random variables, weighted sums of random variables, uniform integrability, convergence in probability, in mean, strong convergence, random elements in separable Banach spaces. 1980 AMS SUBJECT CLASSIFICATION CODE. 60F05, 60F15. Let Xn, n be a sequence of real random variables defined on a probability space (, B, P) and ank, n _>...
For weighted sums of the form Sn = ∑kn j=1 anj(Vnj-Cnj) where {anj, 1≤j≤kn < ∞, n≥1} are constants, ...
For weighted sums of the form Sn = ∑kn j=1 anj(Vnj-Cnj) where {anj, 1≤j≤kn < ∞, n≥1} are constants, ...
For weighted sums of the form Sn = ∑kn j=1 anj(Vnj-Cnj) where {anj, 1≤j≤kn < ∞, n≥1} are constants, ...
ABSTRACT. Under uniform integrability condition, some Weak Laws of large numbers are established for...
Under uniform integrability condition, some Weak Laws of large numbers are established for weighted ...
AbstractFrom the classical notion of uniform integrability of a sequence of random variables, a new ...
The paper deals with sums of independent and identically distributed random variables defined on som...
The paper deals with sums of independent and identically distributed random variables defined on som...
The paper deals with sums of independent and identically distributed random variables defined on som...
Let {ank}, n, k ∈ N be an array of real constants, and let {Xn} be a sequence of random variables. ...
The paper deals with sums of independent and identically distributed random variables defined on som...
AbstractFrom the classical notion of uniform integrability of a sequence of random variables, a new ...
ABSTRACT. Let {Xk} be independent random variables with EXk 0 for all k and let {ank: n> i, k>...
n ABSTRACT. For weighted sums a:Y: of independent ancJ identically.distributed random variables,IJ (...
The convergence in mean of a weighted sum ∑kank(Xk−EXk) of random elements in a separable Banach spa...
For weighted sums of the form Sn = ∑kn j=1 anj(Vnj-Cnj) where {anj, 1≤j≤kn < ∞, n≥1} are constants, ...
For weighted sums of the form Sn = ∑kn j=1 anj(Vnj-Cnj) where {anj, 1≤j≤kn < ∞, n≥1} are constants, ...
For weighted sums of the form Sn = ∑kn j=1 anj(Vnj-Cnj) where {anj, 1≤j≤kn < ∞, n≥1} are constants, ...
ABSTRACT. Under uniform integrability condition, some Weak Laws of large numbers are established for...
Under uniform integrability condition, some Weak Laws of large numbers are established for weighted ...
AbstractFrom the classical notion of uniform integrability of a sequence of random variables, a new ...
The paper deals with sums of independent and identically distributed random variables defined on som...
The paper deals with sums of independent and identically distributed random variables defined on som...
The paper deals with sums of independent and identically distributed random variables defined on som...
Let {ank}, n, k ∈ N be an array of real constants, and let {Xn} be a sequence of random variables. ...
The paper deals with sums of independent and identically distributed random variables defined on som...
AbstractFrom the classical notion of uniform integrability of a sequence of random variables, a new ...
ABSTRACT. Let {Xk} be independent random variables with EXk 0 for all k and let {ank: n> i, k>...
n ABSTRACT. For weighted sums a:Y: of independent ancJ identically.distributed random variables,IJ (...
The convergence in mean of a weighted sum ∑kank(Xk−EXk) of random elements in a separable Banach spa...
For weighted sums of the form Sn = ∑kn j=1 anj(Vnj-Cnj) where {anj, 1≤j≤kn < ∞, n≥1} are constants, ...
For weighted sums of the form Sn = ∑kn j=1 anj(Vnj-Cnj) where {anj, 1≤j≤kn < ∞, n≥1} are constants, ...
For weighted sums of the form Sn = ∑kn j=1 anj(Vnj-Cnj) where {anj, 1≤j≤kn < ∞, n≥1} are constants, ...