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Hypotheses Testing on a Multivariate Null Intercept Errors-in-Variables Model
(TAYLOR & FRANCIS INC, 2009)
Considering the Wald, score, and likelihood ratio asymptotic test statistics, we analyze a multivariate null intercept errors-in-variables regression model, where the explanatory and the response variables are subject to ...
Improved maximum likelihood estimators in a heteroskedastic errors-in-variables model
(SPRINGER, 2011)
This paper develops a bias correction scheme for a multivariate heteroskedastic errors-in-variables model. The applicability of this model is justified in areas such as astrophysics, epidemiology and analytical chemistry, ...
Likelihood ratio tests for variance components in linear mixed models
(ELSEVIER SCIENCE BV, 2009)
Although the asymptotic distributions of the likelihood ratio for testing hypotheses of null variance components in linear mixed models derived by Stram and Lee [1994. Variance components testing in longitudinal mixed ...
Inferences about the coefficient of correlation in the standard bivariate normal distribution
(2001-12-01)
The study of the association between two random variables that have a joint normal distribution is of interest in applied statistics; for example, in statistical genetics. This article, targeted to applied statisticians, ...
Inferences about the coefficient of correlation in the standard bivariate normal distribution
(2001-12-01)
The study of the association between two random variables that have a joint normal distribution is of interest in applied statistics; for example, in statistical genetics. This article, targeted to applied statisticians, ...
A conditional likelihood ratio test for structural models
(Fundação Getulio Vargas. Escola de Pós-graduação em Economia, 2002-05-29)
This paper develops a general method for constructing similar tests based on the conditional distribution of nonpivotal statistics in a simultaneous equations model with normal errors and known reducedform covariance matrix. ...
Optimality of the maximum likelihood estimator in astrometry
(EDP Sciences, 2018)
Context. Astrometry relies on the precise measurement of positions and motions of celestial objects. Driven by the ever-increasing
accuracy of astrometric measurements, it is important to critically assess the maximum ...
THE DIFFICULTIES OF ESTIMATION OF DISPERSION PARAMETERS IN LINEAR-MODELS - AN ILLUSTRATION
(Springer VerlagNew York, 1995)
Power of the likelihood ratio test for models of DNA base substitution
(Taylor & Francis LtdAbingdonInglaterra, 2011)