THE UNIQUENESS OF THE QUASI-LIKELIHOOD ESTIMATOR IN THE POISSON MODEL WITH AN ERROR IN THE REGRESSOR

被引：0

作者：

Shklyar, S. V. ^{[1
]}

机构：

[1] Natl Taras Shevchenko Univ, Fac Mech & Math, Dept Probabil Theory Stat & Actuarial Math, Volodymyrska St 64, UA-01601 Kiev, Ukraine

来源：

THEORY OF PROBABILITY AND MATHEMATICAL STATISTICS | 2013年 / 88卷

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D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Poisson regression with Gaussian error of Berkson type in the regressor is studied. For the regression parameters, Simple Score estimator and Quasi-Likelihood estimator are considered. Sufficient conditions for strong consistency of the estimators and sufficient conditions for uniqueness of solution to estimating equations are provided. The parameter set may be unbounded.

引用

页码：181 / 192

页数：12