Maximum Information and Optimum Estimating Function

Citation:

LIN Lu.Maximum Information and Optimum Estimating Function[J].Chinese Annals of Mathematics B,2003,24(3):349~358
Page view: 1220        Net amount: 757

Authors:

LIN Lu;

Foundation:

Project supported by the National Natural Science Foundation of China (No.10171051), and Youth Teacher Foundation of Nankai University.
Abstract: In order to construct estimating functions in some parametric models, this paper introduces two classes of information matrices. Some necessary and sufficient conditions for the information matrices achieving their upper bounds are given. For the problem of estimating the median, some optimum estimating functions based on the information matrices are acquired. Under some regularity conditions, an approach to carrying out the best basis function is introduced. In nonlinear regression models, an optimum estimating function based on the information matrices is obtained. Some examples are given to illustrate the results. Finally, the concept of optimum estimating function and the methods of constructing optimum estimating function are developed in more general statistical models.

Keywords:

Quasi (pseudo) Fisher information, Estimating function, Quasi score, Nonlinear regression model, Median regression model

Classification:

62B10, 62F10
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