On Existence of Explicit Asymptotically Normal Estimators in Nonlinear Regression Problems

被引：1

作者：

Sakhanenko, Alexander ^{[1
]}

机构：

[1] Sobolev Inst Math, Koptuga Prospekt 4, Novosibirsk 630090, Russia

来源：

ANALYTICAL METHODS IN STATISTICS, AMISTAT 2015 | 2017年 / 193卷

关键词：

Nonlinear regression; Explicit estimators; Asymptotically normal estimators; Improvement of estimators; CONVERGENCE; LIKELIHOOD; STEP;

D O I：

10.1007/978-3-319-51313-3_8

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

Explicit asymptotically normal estimators for two new classes of nonlinear regression problems are constructed. The survey of such estimators and of methods for their construction is presented. Several new properties of previously established estimators are found.

引用

页码：159 / 187

页数：29

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