Title of article
Asymptotic properties of an estimator in errors-in-variables models in the presence of validation data
Author/Authors
Karah I. Fazekas، نويسنده , , S. Baran، نويسنده , , J. Lauridsen، نويسنده ,
Issue Information
دوهفته نامه با شماره پیاپی سال 1999
Pages
9
From page
31
To page
39
Abstract
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 are described. Simulation results are also presented.
Keywords
Measurement errors , Errors-in-variables , Mixing property , Consistency of estimators , random fields , validation
Journal title
Computers and Mathematics with Applications
Serial Year
1999
Journal title
Computers and Mathematics with Applications
Record number
918522
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