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Strong Limit Theorems for Weighted Sums of Negatively Associated Random Variables

JOURNAL ARTICLE published 27 December 2010 in Stochastic Analysis and Applications

Authors: Xuejun Wang | Xiaoqin Li | Shuhe Hu | Wenzhi Yang

On the Set of Limit Points of Normed Sums of Geometrically Weighted I.I.D. Unbounded Random Variables

JOURNAL ARTICLE published 13 August 2010 in Stochastic Analysis and Applications

Authors: Deli Li | Yongcheng Qi | Andrew Rosalsky

L1-Convergence for Weighted Sums of Some Dependent Random Variables

JOURNAL ARTICLE published 25 October 2010 in Stochastic Analysis and Applications

Authors: Pingyan Chen | Manuel Ordóñez Cabrera | Andrei Volodin

On the central limit theorem for negatively correlated random variables with negatively correlated squares

JOURNAL ARTICLE published June 2000 in Stochastic Processes and their Applications

Authors: Alexander R. Pruss | Dominik Szynal

The Strong Law of Large Numbers for Independent Random Variables

BOOK CHAPTER published 2014 in Limit Theorems for Multi-Indexed Sums of Random Variables

Authors: Oleg Klesov

Some general strong laws for weighted sums of stochastically dominated random variables

JOURNAL ARTICLE published January 1987 in Stochastic Analysis and Applications

Authors: André Adler | Andrew Rosalsky

A limit theorem for almost monotone sequences of random variables

JOURNAL ARTICLE published February 1986 in Stochastic Processes and their Applications

Authors: Klaus Schürger

The Strong Law of Large Numbers for Independent Identically Distributed Random Variables

BOOK CHAPTER published 2014 in Limit Theorems for Multi-Indexed Sums of Random Variables

Authors: Oleg Klesov

On the strong law of large numbers for normed weighted sums of I.I.D. random variables

JOURNAL ARTICLE published January 1987 in Stochastic Analysis and Applications

Authors: Andréw Adler | Andrew Rosalsky

Strong convergence for sums of randomly weighted, rowwise exchangeable random variables

JOURNAL ARTICLE published January 1989 in Stochastic Analysis and Applications

Authors: Ronald F. Patterson | Robert L. Taylor | Hiroshi Inoue

On the Set of Limit Points of Normed Sums of Geometrically Weighted I.I.D. Bounded Random Variables

JOURNAL ARTICLE published 31 December 2009 in Stochastic Analysis and Applications

Authors: Deli Li | Yongcheng Qi | Andrew Rosalsky

On the Set of Limit Points of Normed Sums of Geometrically Weighted I.I.D. Unbounded Random Variables. II

JOURNAL ARTICLE published 20 April 2011 in Stochastic Analysis and Applications

Authors: Deli Li | Yongcheng Qi | Andrew Rosalsky

Lower convex order bound approximations for sums of log‐skew normal random variables

JOURNAL ARTICLE published September 2011 in Applied Stochastic Models in Business and Industry

Authors: Oriol Roch | Emiliano A. Valdez

The Central Limit Theorem (CLT) for Independent and Identically Dis- tributed Random Variables

BOOK CHAPTER published 25 August 2012 in Probability and Stochastic Modeling

Some Strong and Weak Limit Theorems for Weighted Sums of i.i.d. Banach Space Valued Random Elements with Slowly Varying Weights

JOURNAL ARTICLE published January 2004 in Stochastic Analysis and Applications

Authors: Andrew Rosalsky | Robert L. Taylor

Maximal Inequalities for Multi-Indexed Sums of Independent Random Variables

BOOK CHAPTER published 2014 in Limit Theorems for Multi-Indexed Sums of Random Variables

Authors: Oleg Klesov

Weak Convergence of Multi-Indexed Sums of Independent Random Variables

BOOK CHAPTER published 2014 in Limit Theorems for Multi-Indexed Sums of Random Variables

Authors: Oleg Klesov

Tail Probabilities of Randomly Weighted Sums of Random Variables with Dominated Variation

JOURNAL ARTICLE published July 2006 in Stochastic Models

Authors: Dingcheng Wang | Qihe Tang

Limit Theorems for Multi-Indexed Sums of Random Variables

BOOK published 2014 in Probability Theory and Stochastic Modelling

Authors: Oleg Klesov

The central limit theorem and weak convergence of maxima of sums of independent random variables

BOOK CHAPTER published 1985 in Stability Problems for Stochastic Models

Authors: V. M. Kruglov