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Asymptotic properties of an estimator in errors-in-variables models in the presence of validation data

โœ Scribed by I. Fazekas; S. Baran; J. Lauridsen

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
542 KB
Volume
38
Category
Article
ISSN
0898-1221

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โœฆ Synopsis

Structural errors-in-variables models with dependent spatial observations are studied. The presence of validation data is assumed. An estimator for regression parameters proposed by Lee and Sepanski [1] is studied. Consistency and asymptotic normality of the estimator are established in the case of increasing domain. Infill asymptotic properties axe described. Simulation results are also presented.

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