Adjusted Likelihood Inference in an Elliptical Multivariate Errors-in-Variables Model
DOI10.1080/03610926.2012.731126zbMath1308.62027arXiv1108.1098OpenAlexW2963351666WikidataQ57496456 ScholiaQ57496456MaRDI QIDQ5177615
Tatiane F. N. Melo, Silvia L. P. Ferrari
Publication date: 13 March 2015
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1108.1098
measurement errorelliptical distributionmultivariate errors-in-variables modelmodified likelihood ratio statistic
Linear regression; mixed models (62J05) Parametric hypothesis testing (62F03) Asymptotic properties of parametric tests (62F05)
Uses Software
Cites Work
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- On the maximum likelihood estimation of a linear structural relationship when the intercept is known
- Null intercept measurement error regression models
- Likelihood Asymptotics
- Hypotheses Testing on a Multivariate Null Intercept Errors-in-Variables Model
- Measurement Error
- Likelihood estimation of a simple linear regression model when both variables have error
- The linear structural relation for several groups of data
- COMPARATIVE CALIBRATION WITH SUBGROUPS
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