Computer Science

Nahid Ganjealivand, F. Ghapani, A. Zaherzadeh, F. Hormozinejad

2021.12.1Journal of the Iranian Statistical Society

DOI: 10.52547/jirss.20.2.79

tlooto Summary

Researchers investigate two-parameter estimators for linear mixed measurement error models to derive asymptotic properties and compare performance using mean squared error matrix.

Abstract

. In this study, the stochastic restricted and unrestricted two-parameter estimators of fixed and random e ff ects are investigated in the linear mixed measurement error models. For this purpose, the asymptotic properties and then the comparisons under the criterion of mean squared error matrix ( MSEM ) are derived. Furthermore, the proposed methods are used for estimating the biasing parameters. Finally, a real data analysis and a simulation study are provided to evaluate the performance of the proposed estimators

Citation format

GANJEALIVAND, Nahid, et al. Stochastic restricted two-parameter estimator in linear mixed measurement error models. Journal of the Iranian Statistical Society, 2021.