Restricted estimation and testing of hypothesis in linear measurement errors models

DOI10.1080/03610926.2014.942429zbMath1345.62102OpenAlexW2470522703MaRDI QIDQ2817159

Wenxue Li, Hu Yang, Ting-Ting Li

Publication date: 29 August 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2014.942429

zbMATH Keywords

measurement errorslinear restrictionsPitman closenessWald type statistic

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Parametric hypothesis testing (62F03) Point estimation (62F10)

Cites Work

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• Replicated measurement error model under exact linear restrictions
• Pitman closeness of sample median to population median
• On the estimation of the linear relation when the error variances are known
• Restricted regression estimation in measurement error models
• Use of prior information in the consistent estimation of regression coefficients in measurement error models
• Consistent estimation for the non-normal ultrastructural model
• Asymptotic efficiency properties of least squares in an ultrastructural model
• Estimators of slopes in linear errors-in-variables regression models when the predictors have known reliability matrix
• Pitman closeness, monotonicity and consistency of best linear unbiased and invariant estimators for exponential distribution under Type II censoring
• Likelihood estimation of a simple linear regression model when both variables have error
• On the unreplicated ultrastructural model
• The ultrastructural relation: A synthesis of the functional and structural relations
• Weighted Stochastic Restricted Estimation in Linear Measurement Error Models

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