A note on the most powerful invariant test of Rayleigh against exponential distribution

DOI10.1080/03610926.2019.1608245OpenAlexW2941368502WikidataQ127994289 ScholiaQ127994289MaRDI QIDQ5077988

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Publication date: 20 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2019.1608245

zbMATH Keywords

saddlepoint approximationhazard functionmost powerful invariant testratio of maximized likelihoods

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Parametric hypothesis testing (62F03) Statistics (62-XX)

Cites Work

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• Saddlepoint \(p\)-values for two-sample bivariate tests
• Testing homogeneity of inverse Gaussian scale-like parameters: a saddlepoint approach
• General Saddlepoint Approximation for Testing Separate Location-Scale Families of Hypotheses
• General Saddlepoint Approximations with Applications to L Statistics
• Quasi Most Powerful Invariant Goodness‐of‐fit Tests
• A Return to an Old Paper: ‘Tests of Separate Families of Hypotheses’
• Testing Statistical Hypotheses
• Likelihood Ratio Test for Discrimination between Two Models with Unknown Location and Scale Parameters

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