Exact conditional tests and approximate bootstrap tests for the von Mises distribution

DOI10.1080/15598608.2009.10411945zbMath1211.62075OpenAlexW2164798779MaRDI QIDQ2431720

Michael A. Stephens, Richard A. Lockhart, Federico J. O'Reilly

Publication date: 18 April 2011

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/15598608.2009.10411945

zbMATH Keywords

simulationGibbs samplercircular dataWatson test

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Bootstrap, jackknife and other resampling methods (62F40) Sufficient statistics and fields (62B05)

Related Items (9)

On goodness of fit tests for the Poisson, negative binomial and binomial distributions ⋮ Parametric bootstrap goodness-of-fit testing for Wehrly-Johnson bivariate circular distributions ⋮ A Metropolis algorithm to obtain co-sufficient samples with applications in conditional tests ⋮ Goodness-of-fit and sufficiency: exact and approximate tests ⋮ Conditional limit laws for goodness-of-fit tests ⋮ The life and work of Michael A. Stephens: a conversation with Richard A. Lockhart and John J. Spinelli ⋮ Some goodness-of-fit tests for the Poisson distribution with applications in biodosimetry ⋮ Conditional goodness-of-fit tests for discrete distributions ⋮ Testing goodness-of-fit and conditional independence with approximate co-sufficient sampling

Cites Work

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• Smooth Tests of Goodness of Fit: An Overview
• Use of the Gibbs Sampler to Obtain Conditional Tests, with Applications
• Tests of fit for the von Mises distribution
• Miscellanea. Stochastic simulations conditioned on sufficient statistics
• On the Conditional Distribution of Goodness-of-Fit Tests
• Testing Statistical Hypotheses
• Monte Carlo conditioning on a sufficient statistic
• Goodness-of-fit tests on a circle
• Multisample Tests for the von Mises Distribution
• Goodness-of-fit tests on a circle. II

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