Hypotheses Testing on a Multivariate Null Intercept Errors-in-Variables Model

DOI10.1080/03610910902972310zbMath1173.62009OpenAlexW2083256642MaRDI QIDQ3391884

Reiko Aoki, Cibele M. Russo, Dorival Jun. Leão-Pinto

Publication date: 13 August 2009

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

Full work available at URL: https://doi.org/10.1080/03610910902972310

zbMATH Keywords

EM algorithmlikelihood ratioWald statisticerrors-in-variables modelsscore statisticnull intercept

Mathematics Subject Classification ID

Related Items (1)

Adjusted Likelihood Inference in an Elliptical Multivariate Errors-in-Variables Model

Uses Software

• Ox

Cites Work

• On the maximum likelihood estimation of a linear structural relationship when the intercept is known
• Null intercept measurement error regression models
• Estimating structural and functional relationships
• Maximum likelihood estimation via the ECM algorithm: A general framework
• Bayesian analysis of null intercept errors-in-variables regression for pretest/post-test data
• Local influence in null intercept measurement error regression under a student_t model
• The asymptotic properties of ML estimators when sampling from associated populations
• The ultrastructural relation: A synthesis of the functional and structural relations
• APPLICATION OF GENERALIZED ESTIMATING EQUATIONS TO A DENTAL RANDOMIZED CLINICAL TRIAL
• Bayesian Analysis of a Multivariate Null Intercept Errors-in-Variables Regression Model
• REGRESSION, STRUCTURE AND FUNCTIONAL RELATIONSHIP. PART I
• REGRESSION, STRUCTURE AND FUNCTIONAL RELATIONSHIP. PART II

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