Research output: Contribution to journal › Article › peer-review
Cramér-type moderate deviations for intermediate trimmed means. / Грибкова, Надежда Викторовна.
In: Communications in Statistics - Theory and Methods, Vol. 46, No. 23, 01.03.2017, p. 11918-11932 .Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Cramér-type moderate deviations for intermediate trimmed means
AU - Грибкова, Надежда Викторовна
N1 - Gribkova, N. Cramér-type moderate deviations for intermediate trimmed means. Communications in statistics – Theory and Methods. Vol. 46, 2017, issue 23, Pages: 11918-11932
PY - 2017/3/1
Y1 - 2017/3/1
N2 - In this article, we establishCram\'{e}r type moderate deviation results for (intermediate) trimmed means$T_n=n^{-1} \sum_{i=\kn+1}^{n-\mn}\xin$, where $\xin$ -- the order statistics corresponding to the first $n$observationsin a~sequence $X_1,X_2,\dots $ of i.i.d random variables with $df$ $F$.We consider two cases of intermediate and heavy trimming. In the former case, when $\max(\an,\bn)\to 0$ ($\an=\kn/n$, $\bn=\mn/n$) and $\min(\kn,\mn)\to\infty$ as $\nty$, weobtain our results under a~natural moment assumption and a~mild condition on the rate at which $\an$ and $\bn$ tend to zero. In the latter case, we do not impose any moment conditions on $F$, instead, we require some smoothness of $F^{-1}$ in an~open set containing the limit points of the trimming sequences $\an$, $1-\bn$.
AB - In this article, we establishCram\'{e}r type moderate deviation results for (intermediate) trimmed means$T_n=n^{-1} \sum_{i=\kn+1}^{n-\mn}\xin$, where $\xin$ -- the order statistics corresponding to the first $n$observationsin a~sequence $X_1,X_2,\dots $ of i.i.d random variables with $df$ $F$.We consider two cases of intermediate and heavy trimming. In the former case, when $\max(\an,\bn)\to 0$ ($\an=\kn/n$, $\bn=\mn/n$) and $\min(\kn,\mn)\to\infty$ as $\nty$, weobtain our results under a~natural moment assumption and a~mild condition on the rate at which $\an$ and $\bn$ tend to zero. In the latter case, we do not impose any moment conditions on $F$, instead, we require some smoothness of $F^{-1}$ in an~open set containing the limit points of the trimming sequences $\an$, $1-\bn$.
KW - intermediate trimmed means
KW - moderate deviations
KW - large deviations
KW - slightly trimmed sums
KW - asymptotic normality
U2 - 10.1080/03610926.2017.1285930
DO - 10.1080/03610926.2017.1285930
M3 - Article
VL - 46
SP - 11918
EP - 11932
JO - Communications in Statistics - Theory and Methods
JF - Communications in Statistics - Theory and Methods
SN - 0361-0926
IS - 23
ER -
ID: 9216185