LARGE DEVIATIONS AND MODERATE DEVIATIONS FOR SUMS OF NEGATIVELY DEPENDENT RANDOM VARIABLES
In this article, we obtain the large deviations and moderate deviations for negatively dependent (ND) and non-identically distributed random variables defined on (-∞, +∞). The results show that for some non-identical random variables, precise large deviations and moderate deviations remain insensiti...
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Published in | Acta mathematica scientia Vol. 31; no. 1; pp. 344 - 352 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
2011
School of Mathematics and Statistics, Wuhan University, Hubei 430072, China%School of Mathmatics and Computer Science, Hubei University, Hubei 430062, China |
Subjects | |
Online Access | Get full text |
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Summary: | In this article, we obtain the large deviations and moderate deviations for negatively dependent (ND) and non-identically distributed random variables defined on (-∞, +∞). The results show that for some non-identical random variables, precise large deviations and moderate deviations remain insensitive to negative dependence structure. |
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Bibliography: | non-identical distribution negative dependence Large deviation; moderate deviation; negative dependence; non-identical distribution moderate deviation 42-1227/O O211.5 Large deviation O211.4 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0252-9602 1572-9087 |
DOI: | 10.1016/S0252-9602(11)60234-8 |