Hypotheses Testing on a Multivariate Null Intercept Errors-in-Variables Model
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Publication:3391884
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
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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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