On the maximum likelihood estimation of a linear structural relationship when the intercept is known

DOI10.1016/0047-259X(79)90087-3zbMath0407.62017MaRDI QIDQ1258144

Tak K. Mak, Lai-Kow Chan

Publication date: 1979

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

zbMATH Keywords

Asymptotic BehaviourMaximum Likelihood EstimationKnown InterceptLinear Structural Relationship

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Parametric tolerance and confidence regions (62F25) Point estimation (62F10) Characterization and structure theory for multivariate probability distributions; copulas (62H05)

Related Items (11)

Null intercept measurement error regression models ⋮ A modified signed likelihood ratio test in elliptical structural models ⋮ Bayesian analysis of skew-\(t\) multivariate null intercept measurement error model ⋮ Unnamed Item ⋮ Skew-normal distribution in the multivariate null intercept measurement error model ⋮ On Computing a Likelihood Ratio Test Statistic in Physiological Response Slope Studies ⋮ Measurement error models with nonconstant covariance matrices ⋮ Adjusted Likelihood Inference in an Elliptical Multivariate Errors-in-Variables Model ⋮ Bayesian Analysis of a Multivariate Null Intercept Errors-in-Variables Regression Model ⋮ Modified likelihood ratio tests in heteroskedastic multivariate regression models with measurement error ⋮ Hypotheses Testing on a Multivariate Null Intercept Errors-in-Variables Model

Cites Work

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• Estimating structural and functional relationships
• Errors in Variables: A Consistent Estimator with Smaller MSE in Finite Samples
• On asymptotic tests of composite hypotheses in nonstandard conditions
• A Note on the Maximum Likelihood Estimation of a Linear Structural Relationship

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