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Asymptotic Results for Random Processes

Asymptotic Results for Random Processes
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摘要 In this paper we establish asymptotic results and a generalized uniform law of the iterated logarithm (LIL) for the increments of a strictly stationary random process, whose results are proved by separating linearly positive quadrant dependent (LPQD) random process and linearly negative quadrant dependent (LNQD) one, respectively. In this paper we establish asymptotic results and a generalized uniform law of the iterated logarithm (LIL) for the increments of a strictly stationary random process, whose results are proved by separating linearly positive quadrant dependent (LPQD) random process and linearly negative quadrant dependent (LNQD) one, respectively.
出处 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2017年第2期363-372,共10页 应用数学学报(英文版)
基金 Supported by the NRF-2013R1A1A2010278
关键词 quadrant dependence stationary random process law of the iterated logarithm quadrant dependence stationary random process law of the iterated logarithm
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