Stochastic restricted Liu estimator in linear mixed measurement error models

Ghapani, Fatemeh

doi:10.1080/03610918.2019.1664581

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2021

2024

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Cited by 6 publications

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“…ere are many researches on Liu estimator for different models done by various researchers. To mention a few, Arashi et al [15], Kibria [16], Alheety and Kibria [17], Ghapani [18], and, very recently, Li et al [19] are among them.…”

Section: Introductionmentioning

confidence: 99%

The Mixed Liu Estimator in Stochastic Restricted Linear Measurement Error Model

2021

Journal of Mathematics

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Ghapani and Babdi [1] proposed a mixed Liu estimator in linear measurement error model with stochastic linear restrictions. In this article, we propose an alternative mixed Liu estimator in the linear measurement error model with stochastic linear restrictions. The performance of the new mixed Liu estimator over the mixed estimator, Liu estimator, and mixed Liu estimator proposed by Ghapani and Babdi [1] are discussed in the sense of mean squared error matrix. Finally, a simulation study is given to show the performance of these estimators.

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