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JOURNALS // Theory of Stochastic Processes // Archive

Theory Stoch. Process., 2010 Volume 16(32), Issue 2, Pages 126–131 (Mi thsp81)

New functional estimator in quadratic errors-in-variables model

Elena Usoltsevaa, Alexander Kukushb

a Radiophysical Department, Kiev Taras Shevchenko University, Volodymyrska str. 64, 01601 Kiev, Ukraine
b Department of Mathematics, Kiev Taras Shevchenko University, Volodymyrska str. 64, 01601 Kiev, Ukraine

Abstract: A quadratic structural errors-in-variables model is considered. Functional estimators that are generated by estimating the functions conditionally unbiased given the latent variable are studied. Those estimators are constructed without the knowledge of the latent variable distribution. A problem is studied how to construct an estimator from the class which has the smallest, in certain sense, asymptotic covariance matrix.

Keywords: Asymptotic covariance matrix, efficient estimator, functional estimator, quadratic errors-in-variables model.

MSC: 62J05, 62F12

Language: English



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