General Saddlepoint Approximation for Testing Separate Location-Scale Families of Hypotheses
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Publication:3625312
DOI10.1080/03610910801943792zbMath1160.62014OpenAlexW2026288553MaRDI QIDQ3625312
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Publication date: 12 May 2009
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610910801943792
likelihood ratio testextreme value distributionnormal approximationEdgeworth expansioncumulant generating functiontail probability approximationratio of maximized likelihoods (RML)
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Cites Work
- Regularity conditions for Cox's test of non-nested hypotheses
- Saddlepoint methods and statistical inference. With comments and a rejoinder by the author
- General Saddlepoint Approximations of Marginal Densities and Tail Probabilities
- On the maximum likelihood ratio method of deciding between the weibull and gamma distributions
- General Saddlepoint Approximations with Applications to L Statistics
- Probability of correct selection of weibull versus gamma based on livelihood ratio
- Quasi Most Powerful Invariant Goodness‐of‐fit Tests
- Likelihood Ratio Test for Discrimination between Two Models with Unknown Location and Scale Parameters
- Discrimination between the Log-Normal and the Weibull Distributions
- Saddlepoint Approximations in Statistics
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