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Estimation of a regression function by the parzen kernel-type density estimators

  • Kazuo Noda
Article

Summary

In this paper a theory of estimation of a regression function by the Parzen kernel-type density estimators is developed in the following points: 1) convergence of the estimators to the regression function at a continuous point, 2) convergence of the mean square error at a continuous point, and 3) the speed of the convergence in 2).

Keywords

Natural Number Probability Density Function Regression Function Conditional Variance Continuous Point 
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References

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Copyright information

© The Institute of Statistical Mathematics 1976

Authors and Affiliations

  • Kazuo Noda

There are no affiliations available

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