Abstract
The aim of this work is to obtain general results for the limit distributions of asymptotically linear statistics when the error is spherical, increasing non-centrality. These results apply directly to homoscedastic normal error thus to high precision measurements. We present a numerical example on cylinder volume to illustrate the usefulness of our approach.
Original language | English |
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Pages (from-to) | 409-414 |
Number of pages | 6 |
Journal | Statistics, Optimization and Information Computing |
Volume | 6 |
Issue number | 3 |
DOIs | |
Publication status | Published - 19 Aug 2018 |
Keywords
- Asymptotic linearity
- Cylinder volume
- Limit distributions
- Normal distribution
- Spherical densities