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Large Deviations for Quasi-Arithmetically Self-Normalized Random Variables
- Source :
- ESAIM: Probability and Statistics, ESAIM: Probability and Statistics, EDP Sciences, 2013, 17 (1), pp.1--12
- Publication Year :
- 2013
- Publisher :
- HAL CCSD, 2013.
-
Abstract
- We introduce a family of convex (concave) functions called sup (inf) of powers, which are used as generator functions for a special type of quasi-arithmetic means. Using these means, we generalize the large deviation result on self-normalized statistics that was obtained in the homogeneous case by [Q.-M. Shao, Self-normalized large deviations. Ann. Probab. 25 (1997) 285–328]. Furthermore, in the homogenous case, we derive the Bahadur exact slope for tests using self-normalized statistics.
- Subjects :
- Statistics and Probability
[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]
010102 general mathematics
Regular polygon
Self normalized
Type (model theory)
01 natural sciences
Combinatorics
[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]
010104 statistics & probability
Homogeneous
Applied mathematics
Large deviations theory
0101 mathematics
Random variable
Mathematics
Generator (mathematics)
Subjects
Details
- Language :
- English
- ISSN :
- 12928100 and 12623318
- Database :
- OpenAIRE
- Journal :
- ESAIM: Probability and Statistics, ESAIM: Probability and Statistics, EDP Sciences, 2013, 17 (1), pp.1--12
- Accession number :
- edsair.doi.dedup.....3466583bf98c942040441d9cb7933d36