Discrimination between the von Mises and wrapped normal distributions: just how big does the sample size have to be?

DOI10.1080/02331880500031597zbMath1115.62336OpenAlexW2091186291MaRDI QIDQ5312720

M. C. Jones, Arthur Pewsey

Publication date: 25 August 2005

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331880500031597

zbMATH Keywords

discriminationsample size determinationstatistical evidencelaw of likelihoodlikelihood-based criteria

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items

Recent advances in directional statistics ⋮ Two nested families of skew-symmetric circular distributions ⋮ Bayesian analysis for bivariate von Mises distributions ⋮ A sequential discrimination procedure for two almost identically shaped wrapped distributions ⋮ SB-Robust Estimators of the Parameters of the Wrapped Normal Distribution ⋮ THE WRAPPED t FAMILY OF CIRCULAR DISTRIBUTIONS ⋮ Robustness of tests for directional mean

Uses Software

• AS 183

Cites Work

• Unnamed Item
• Efficient Simulation of the von Mises Distribution
• Discriminating Between the Von Mises and Wrapped Normal Distributions
• On Sample-Size Selection and the Evaluation of Discriminability in the Model Choice Problem
• A Simplex Method for Function Minimization

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