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Moderate deviations in subsampling distribution estimation
Author(s):
Patrice
Bertail;
Anthony
Gamst;
Dimitris
N.
Politis
Journal:
Proc. Amer. Math. Soc.
129
(2001),
551-557.
MSC (1991):
Primary 60F05;
Secondary 60F10
Posted:
July 27, 2000
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Abstract:
In Politis and Romano (1994) the subsampling methodology was put forth for approximating the sampling distribution (and the corresponding quantiles) of general statistics from i.i.d. and stationary data. In this note, we address the question of how well the subsampling distribution approximates the tail of the target distribution. In the regular setting of the sample mean of an -dependent sequence we show a moderate deviation property of the subsampling distribution.
References:
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- 2.
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-dependent random variables, Z. Wahrsch. verw. Geb., 60, 501-515. MR 83j:60026 - 3.
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-dependent random variables, Math. Nachr. 115, 7-20. MR 85k:60033 - 4.
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- 5.
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- 6.
- Politis, D.N. and Romano, J.P.(1994). `Large Sample Confidence Regions Based on Subsamples under Minimal Assumptions', Ann. Statist., vol. 22, No. 4, 2031-2050. MR 96b:62078
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Additional Information:
Patrice
Bertail
Affiliation:
INRA-CORELA, 65, Bd. de Brandebourg, 34205 Ivry-Seine, France
Anthony
Gamst
Affiliation:
Department of Mathematics, University of California at San Diego, La Jolla, California 92093-0112
Email:
acgamst@osiris.ucsd.edu
Dimitris
N.
Politis
Affiliation:
Department of Mathematics, University of California at San Diego, La Jolla, California 92093-0112
Email:
politis@euclid.ucsd.edu
DOI:
10.1090/S0002-9939-00-05551-9
PII:
S 0002-9939(00)05551-9
Keywords:
Central limit theorem,
large deviations,
resampling
Received by editor(s):
April 6, 1998
Received by editor(s) in revised form:
April 30, 1999
Posted:
July 27, 2000
Communicated by:
Stanley Sawyer
Copyright of article:
Copyright
2000,
American Mathematical Society
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