Large deviations and central limit theorems for Eyraud-Farlie-Gumbel-Morgenstern processes
Let {Xn}n = 1[infinity] be a Eyraud-Farlie-Gumbel-Morgenstern process. Put Sn[reverse not equivalent][summation operator]k=1nXk. In this paper we prove the large deviations theorem for Sn/n, and the central limit theorem for Sn/n1/2, as n --> [infinity].
Year of publication: |
1997
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Authors: | Mikami, Toshio |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 35.1997, 1, p. 73-78
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Publisher: |
Elsevier |
Keywords: | Eyraud-Farlie-Gumbel-Morgenstern process Weak low of large numbers Large deviations theorem Central limit theorem |
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