A class of strong limit theorems for the sequences of arbitrary random variables
β Scribed by Wen Liu; Weiguo Yang
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 241 KB
- Volume
- 64
- Category
- Article
- ISSN
- 0167-7152
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β¦ Synopsis
In this paper, the strong limit theorems for arbitrary stochastic sequences are studied. Some convergence theorems for martingale di erence sequence and a class of strong limit theorem for countable nonhomogeneous Markov chains are the particular cases of the results of this paper. Finally, the strong law of large numbers for the *-mixing sequence and the strong law of large numbers for the limit martingale are proved.
π SIMILAR VOLUMES
Using the notion of likelihood ratio, the limit properties of the sequences of dependent nonnegative integer-valued ndom variables are studied, and a kind of strong limit theorem represented by inequalities, or the strong deviation eorem, is obtained. In the proof an approach of applying the tool of