On the asymptotic distribution of likelihood ratio test when parameters lie on the boundary
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Publication:641797
DOI10.1007/s13571-011-0022-zzbMath1230.62021OpenAlexW1987587408MaRDI QIDQ641797
Leonid Kopylev, Bimal Kumar Sinha
Publication date: 25 October 2011
Published in: Sankhyā. Series B (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s13571-011-0022-z
quadratic formsone-sided testsnuisance parameters on the boundaryparameters of interest on the boundary
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Rejecting the Majorana nature of dark matter with electron scattering experiments ⋮ Constrained parameters in applications: review of issues and approaches ⋮ Improved inference for a boundary parameter ⋮ On the asymptotic distribution of likelihood ratio test when parameters lie on the boundary ⋮ Subvector inference when the true parameter vector may be near or at the boundary ⋮ Holistic inferential approach for restricted parameters in multivariate regression with continuous responses: a Monte Carlo experiment ⋮ Statistical inference for distributions with one Poisson conditional ⋮ Bootstrap inference on the boundary of the parameter space, with application to conditional volatility models
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Cites Work
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- On the asymptotic distribution of likelihood ratio test when parameters lie on the boundary
- Calculating Asymptotic Significance Levels of the Constrained Likelihood Ratio Test with Application to Multivariate Genetic Linkage Analysis
- Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
- On asymptotic tests of composite hypotheses in nonstandard conditions
- On the Distribution of the Log Likelihood Ratio Test Statistic When the True Parameter is "Near" the Boundaries of the Hypothesis Regions
- On the Distribution of the Likelihood Ratio
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