Testing Homogeneity of Inverse Gaussian Scale Parameters Based on Generalized Likelihood Ratio

DOI10.1080/03610918.2011.650257zbMath1327.62091OpenAlexW1980687535MaRDI QIDQ5299830

Xuhua Liu, Dao-Jiang He

Publication date: 21 June 2013

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

Full work available at URL: https://doi.org/10.1080/03610918.2011.650257

zbMATH Keywords

inverse Gaussian distributiongeneralized \(p\)-valuegeneralized likelihood ratio

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03)

Related Items (5)

Score and Wald tests for the homogeneity of inverse Gaussian scale parameters based on computational approach test ⋮ Ordered classification rules for inverse gaussian populations with unknown parameters ⋮ Testing equality of shape parameters in several inverse Gaussian populations ⋮ Comparing scale parameters in several gamma distributions with known shapes ⋮ On the exact distribution of the likelihood ratio test statistic for testing the homogeneity of the scale parameters of several inverse Gaussian distributions

Cites Work

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• A new generalized \(p\)-value approach for testing the homogeneity of variances
• Testing equality of inverse Gaussian means under heterogeneity, based on generalized test variable
• The inverse Gaussian models: Analogues of symmetry, skewness and kurtosis
• Order restricted inference for the scale-like inverse Gaussian parameters
• Fiducial Generalized Confidence Intervals

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