Testing Normality Against the Logistic Distribution Using Saddlepoint Approximation

DOI10.1080/03610910902948203zbMath1167.62041OpenAlexW2054791149MaRDI QIDQ3391880

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Publication date: 13 August 2009

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910902948203

zbMATH Keywords

likelihood ratio testEdgeworth expansionmost powerful invariant testtail probability approximationratio of maximized likelihoods (RML)

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Approximations to statistical distributions (nonasymptotic) (62E17)

Related Items (1)

Test of Normality Against Generalized Exponential Power Alternatives

Cites Work

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• General Saddlepoint Approximation for Testing Separate Location-Scale Families of Hypotheses
• Quasi Most Powerful Invariant Goodness‐of‐fit Tests

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