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

Authors
Fazekas, I Baran, S Lauridsen, J
Citation
I. Fazekas et al., Asymptotic properties of an estimator in errors-in-variables models in thepresence of validation data, COMPUT MATH, 38(5-6), 1999, pp. 31-39
Citations number
9
Categorie Soggetti
Computer Science & Engineering
Journal title
COMPUTERS & MATHEMATICS WITH APPLICATIONS
ISSN journal
08981221 → ACNP
Volume
38
Issue
5-6
Year of publication
1999
Pages
31 - 39
Database
ISI
SICI code
0898-1221(199909)38:5-6<31:APOAEI>2.0.ZU;2-8
Abstract
Structural errors-in-variables models with dependent spatial observations a re studied. The presence of validation data is assumed. An estimator for re gression parameters proposed by Lee and Sepanski [1] is studied. Consistenc y and asymptotic normality of the estimator are established in the case of increasing domain. Infill asymptotic properties are described. Simulation r esults are also presented. (C) 1999 Elsevier Science Ltd. All rights reserv ed.