Journal of the Korean Statistical Society
- 제18권2호
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- Pages.85-96
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- 1989
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- 1226-3192(pISSN)
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- 2005-2863(eISSN)
The Strong Consistency of Nonlinear Least Squares Estimators
초록
This paper is concerned with the strong consistency of the least squares estimators for the nonlinear regression models. A simple and practical sufficient condition for the strong consistency of the least squares estimators is given. It is also discussed that the extension of the strong consistency to a wide class of regression functions can be established by imposing some condition on the input values. Some examples are given to illustrate the application of main result.
키워드