Strong Laws of Large Numbers for Fuzzy Set-Valued Random Variables in G<sub>α</sub> Space

JOURNAL ARTICLE published 2016 in Advances in Pure Mathematics

Authors: Lamei Shen | Li Guan

Strong laws of large numbers for weighted sums of extended negatively dependent random variables under sub-linear expectations

JOURNAL ARTICLE published 4 March 2022 in Communications in Statistics - Theory and Methods

Research funded by the National Natural Science Foundation of China (12061028) | the Guangxi China Science Foundation (2018GXNSFAA281011)

Authors: Zhouting Zhan | Qunying Wu

Necessary and sufficient conditions for the strong law of large numbers for U-statistics

JOURNAL ARTICLE published 1 October 2000 in The Annals of Probability

Authors: Rafał Latała | Joel Zinn

Marcinkiewicz-type strong law of large numbers for double arrays of pairwise independent random variables

JOURNAL ARTICLE published 1999 in International Journal of Mathematics and Mathematical Sciences

Authors: Dug Hun Hong | Seok Yoon Hwang

Spines, skeletons and the strong law of large numbers for superdiffusions

JOURNAL ARTICLE published 1 September 2015 in The Annals of Probability

Authors: Maren Eckhoff | Andreas E. Kyprianou | Matthias Winkel

A Strong Law of Large Numbers for Partial-Sum Processes Indexed by Sets

JOURNAL ARTICLE published 1 February 1984 in The Annals of Probability

Authors: Richard F. Bass | Ronald Pyke

Laws of Large Numbers for Pairwise Independent Uniformly Integrable Random Variables

JOURNAL ARTICLE published 1987 in Mathematische Nachrichten

Authors: Dieter Landers | Lothar Rogge

A Local Limit Theorem for Large Deviations of Sums of Independent, Nonidentically Distributed Random Variables

JOURNAL ARTICLE published 1 June 1979 in The Annals of Probability

Authors: David McDonald

Laws of the Iterated Logarithm for Permuted Random Variables and Regression Applications

JOURNAL ARTICLE published 1 September 1973 in The Annals of Statistics

Authors: Gary G. Makowski

On the strong law of large numbers for ϕ-sub-Gaussian random variables

JOURNAL ARTICLE published 19 March 2021 in Ukrains’kyi Matematychnyi Zhurnal

Authors: K. Zajkowski

The Marcinkiewics–Zygmund strong law of large numbers for dependent random variables

JOURNAL ARTICLE published June 2020 in Statistics & Probability Letters

Research funded by CNEPRU, Algeria (C00L03UN130120150006)

Authors: Fakhreddine Boukhari

The strong law of large numbers for dependent random variables

JOURNAL ARTICLE published July 2005 in Statistics & Probability Letters

Authors: Anna Kuczmaszewska

Weak law of large numbers for arrays of random variables

JOURNAL ARTICLE published April 1999 in Statistics & Probability Letters

Research funded by Ministry of Education (BSRI-98-1439)

Authors: Soo Hak Sung

Strong laws of large numbers for random forests

JOURNAL ARTICLE published July 2009 in Acta Mathematica Hungarica

Authors: A. Chuprunov | I. Fazekas

On Necessary and Sufficient Conditions for the Strong Law of Large Numbers

JOURNAL ARTICLE published September 1973 in Theory of Probability & Its Applications

Authors: S. V. Nagaev

The point of view of the particle on the law of large numbers for random walks in a mixing random environment

JOURNAL ARTICLE published 1 July 2003 in The Annals of Probability

Authors: Firas Rassoul-Agha

Random Series and Laws of Large Numbers in Some Banach Spaces

JOURNAL ARTICLE published March 1974 in Theory of Probability & Its Applications

Authors: W. A. Woyczynski

Strong Law of Large Numbers with Respect to a Set-Valued Probability Measure

JOURNAL ARTICLE published 1 November 1983 in The Annals of Probability

Authors: Madan L. Puri | Dan A. Ralescu

Strong laws of large numbers for two-dimensional processes

PROCEEDINGS ARTICLE published in ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)

Convergence of sequences of random variables: the central limit theorem and the laws of large numbers

BOOK CHAPTER published 1995 in Elementary Applications of Probability Theory

Authors: Henry C. Tuckwell