Multivariate saddlepoint tests on the mean direction of the von Mises-Fisher distribution

DOI10.1007/s00184-017-0625-0zbMath1392.62054OpenAlexW2755034157MaRDI QIDQ1683641

Peng Zhang

Publication date: 1 December 2017

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00184-017-0625-0

zbMATH Keywords

von Mises-Fisher distributionstatistical tests\(p\)-valuessaddle-point approximation\(M\)-estimators

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Asymptotic distribution theory in statistics (62E20) Parametric hypothesis testing (62F03)

Related Items (2)

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Cites Work

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• Small sample asymptotic expansions for multivariate M-estimates
• Robust direction estimation
• Saddlepoint approximations and tests based on multivariate \(M\)-estimates.
• Saddlepoint methods and statistical inference. With comments and a rejoinder by the author
• Saddlepoint approximations to the distribution of the total distance of the multivariate isotropic and von Mises-Fisher random walks
• On a formula for the distribution of the maximum likelihood estimator
• Multivariate Saddlepoint test for the wrapped normal model
• A Bootstrap Test for Circular Data
• Efficient von Mises–Fisher concentration parameter estimation using Taylor series
• Saddlepoint Test in Measurement Error Models

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