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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
Аннотация:
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.
Ключевые слова:
Asymptotic covariance matrix, efficient estimator, functional estimator, quadratic errors-in-variables model.
Образец цитирования:
Elena Usoltseva, Alexander Kukush, “New functional estimator in quadratic errors-in-variables model”, Theory Stoch. Process., 16(32):2 (2010), 126–131
Образцы ссылок на эту страницу:
https://www.mathnet.ru/rus/thsp81 https://www.mathnet.ru/rus/thsp/v16/i2/p126
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Страница аннотации: | 166 | PDF полного текста: | 40 | Список литературы: | 28 |
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