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Large deviations and moderate deviations for kernel density estimators of directional data

✍ Scribed by Fu Qing Gao; Li Na Li


Publisher
Institute of Mathematics, Chinese Academy of Sciences and Chinese Mathematical Society
Year
2010
Tongue
English
Weight
254 KB
Volume
26
Category
Article
ISSN
1439-7617

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πŸ“œ SIMILAR VOLUMES


Large deviations probabilities for a tes
✍ Anna V. Osmoukhina πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 100 KB

The goal is to prove large deviations limit theorems for statistics, which are based on kernel density estimator and which are designed for symmetry testing. The formulas for the rate functions of the pointwise di erence and the uniform norm of the di erence are expressed in terms of the underlying