Consistent estimation of coefficients in measurement error models with replicated observations

Authors:
Shalabh
Affiliations:
Department of Mathematics, Indian Institute of Technology, Kanpur 208016, India
Venue:
Journal of Multivariate Analysis
Year:
2003

Citing 2
Cited 4

Measurement error models

Measurement error models
Improved estimation in measurement error models through Stein rule procedure

Journal of Multivariate Analysis

Restricted regression estimation in measurement error models

Computational Statistics & Data Analysis
Use of prior information in the consistent estimation of regression coefficients in measurement error models

Journal of Multivariate Analysis
Restricted estimation in multivariate measurement error regression model

Journal of Multivariate Analysis
Using stochastic prior information in consistent estimation of regression coefficients in replicated measurement error model

Journal of Multivariate Analysis

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Abstract

For the estimation of coefficients in a measurement error model, the least squares method utilizing original observations and averaged observations over replications provides inconsistent estimators. Based on these, consistent estimators are formulated and asymptotic properties are analyzed.