Inference about comparative precision in linear structural relationships

DOI10.1016/0378-3758(86)90172-2zbMath0625.62058OpenAlexW2061812341MaRDI QIDQ579804

J. Y. Shyr, Leon Jay Gleser

Publication date: 1986

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(86)90172-2

zbMATH Keywords

comparative calibrationconfidence regionslarge sample theorylinear structural relationshipsmaximum likelihood estimators of the precision ratiosmultiple comparison to a standardnonreplicated linear structural modelprecisions of instrumentsrelative precisionunion- intersection test

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Parametric tolerance and confidence regions (62F25) Hypothesis testing in multivariate analysis (62H15) Point estimation (62F10) Linear inference, regression (62J99) Survival analysis and censored data (62N99)

Related Items (7)

Inference in multivariate regression models with measurement errors ⋮ Hypotheses testing for structural calibration model ⋮ Inference for a skew extension of the Grubbs model ⋮ On estimation and influence diagnostics for the Grubbs' model under heavy-tailed distributions ⋮ A robust multivariate measurement error model with skew-normal/independent distributions and Bayesian MCMC implementation ⋮ Inference about comparative precision in linear structural relationships ⋮ Inference in a structural heteroskedastic calibration model

Cites Work

• Inference about comparative precision in linear structural relationships
• Simultaneous statistical inference. 2nd ed
• Total positivity properties of absolute value multinormal variables with applications to confidence interval estimates and related probabilistic inequalities
• Some Concepts of Dependence
• On Multivariate Normal Probabilities of Rectangles: Their Dependence on Correlations
• Errors of Measurement in Statistics
• On a Heuristic Method of Test Construction and its use in Multivariate Analysis
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