Local Powers of Optimal One‐sample and Multi‐sample Tests for the Concentration of Fisher‐von Mises‐Langevin Distributions

DOI10.1111/insr.12047zbMath1416.62291arXiv1303.3738OpenAlexW1899241900MaRDI QIDQ4968611

Thomas Verdebout, Christophe Ley

Publication date: 16 July 2019

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1303.3738

zbMATH Keywords

directional statisticsconcentration parameteruniform local asymptotic normalityLe Cam's third lemmaFisher-von Mises-Langevin distributions

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Asymptotic properties of nonparametric inference (62G20) Hypothesis testing in multivariate analysis (62H15) Asymptotic properties of parametric tests (62F05)

Related Items (4)

Recent advances in directional statistics ⋮ On the efficiency of some rank-based test for the homogeneity of concentrations ⋮ Skew-rotationally-symmetric distributions and related efficient inferential procedures ⋮ An inverse norm weight spatial sign test for high-dimensional directional data

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