Limit distributions for asymptotically linear statistics with spherical error

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)409-414
Number of pages6
JournalStatistics, Optimization and Information Computing
Volume6
Issue number3
DOIs
Publication statusPublished - 19 Aug 2018

Keywords

  • Asymptotic linearity
  • Cylinder volume
  • Limit distributions
  • Normal distribution
  • Spherical densities

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