Mean shift and influence measures in linear measurement error models with stochastic linear restrictions

Ghapani, Fatemeh; Rasekh, Abdolrahman; Babadi, B.

doi:10.1080/03610918.2015.1122047

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Cited by 5 publications

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“…Both of these subdivisions are important to the archaeologists. Consequently, according to this group structure, the selected vessels have been divided in to 25 groups and three groups of imported vessels are selected as stochastic linear restrictions (see Ghapani et al 2015). In each group, there are different numbers of vessels from the same fabric code and provenance, which can essentially be regarded as replicated observations.…”

Section: A Numerical Examplementioning

confidence: 99%

The weighted ridge estimator in stochastic restricted linear measurement error models

2016

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In this paper, we introduce the mixed ridge estimator (MRE) in linear measurement error models with stochastic linear restrictions and present the method of weighted mixed ridge estimation, which permits to assign possibly unequal weights to the prior information in relation to the sample information. The performance of the weighted mixed ridge estimator (WMRE) against the weighted mixed estimator (WME) is examined in terms of the mean squared error matrix (MSEM) of estimators. Finally, a simulation study and a numerical example are also given to show the theoretical results.

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Section: A Numerical Examplementioning

confidence: 99%