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Let (x^) be its strong limit.
Assume that is another strong limit point of in.
Hence p is the strong limit of the sequence { x n }.
Finally, two criteria of the strong limit point case for Equations (2.10) and (1.1) are established.
As a result, the strong limit theorem for negatively dependent sequences of random variables is extended.
Small deviation theorems are a class of strong limit theorems expressed by inequalities.
We use these transforms as tools for analyzing almost periodic functions and strong limit power signals.
converges weakly to the strong limit of { P F ( T ) x n }.
We also give various relations using the HT, FrHT, BWT, and strong limit power signals.
Hence p is the strong limit of the sequence (left{ x_{n}right}).
Shen et al. [7] established the strong limit theorems for NSD random variables.
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