Improved Estimation in Measurement Error Models Through Stein Rule Procedure

Author:

Shalabh

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability

Reference20 articles.

1. An application of approximate sample results to parameter estimation in linear errors-in-variables model;Friedmann;Statist. Neerlandica,1991

2. Measurement Error Models;Fuller,1987

3. On comparing restricted least squares estimators;Guilkey;J. Econometrics,1981

4. The Statistical Implications of Pre-test and Stein-Rule Estimators in Econometrics;Judge,1978

5. Estimating structural and functional relationship;Moran;J. Multivariate Anal.,1971

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1. Restricted Stein-rule estimation in ultrastructural linear measurement error models;Communications in Statistics - Theory and Methods;2022-10-31

2. On Liu-type biased estimators in measurement error models;Statistics;2020-11-01

3. Improved estimation in elliptical linear mixed measurement error models;Journal of Statistical Computation and Simulation;2020-03-24

4. Investigating the performance of a family of exponential-type estimators in presence of measurement error;Communications in Statistics - Theory and Methods;2019-10-30

5. Goodness of fit in restricted measurement error models;Journal of Multivariate Analysis;2016-03

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