A class of random deviation theorems for sums of nonnegative stochastic sequence and strong law of large numbers

DOI10.1016/J.SPL.2006.05.021zbMath1108.60028OpenAlexW2053329674MaRDI QIDQ866605

Zhong-zhi Wang

Publication date: 14 February 2007

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2006.05.021

zbMATH Keywords

limit log-likelihood ratiostochastically dominated random sequence

Mathematics Subject Classification ID

Strong limit theorems (60F15) Limit theorems for vector-valued random variables (infinite-dimensional case) (60B12)

Related Items (4)

Strong deviation theorems for delayed sums of the nonnegative continuous random variables ⋮ A class of strong deviation theorems for the sequence of nonnegative integer valued random variables ⋮ Some limit theorems of runs to the continuous‐valued sequence ⋮ Strong deviation theorems for functionals of the nonnegative continuous random variables

Cites Work

• Relative entropy densities and a class of limit theorems of the sequence of m-valued random variables
• Some Concepts of Dependence
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• Unnamed Item

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