Integrated square error of nonparametric estimators of regression function: the fixed design case

Dimitrios A. Ioannides

Statistics & Probability Letters, 1992, vol. 15, issue 2, 85-94

Abstract: By martingale methods, a central limit theorem and laws of large numbers are established for the integrated square error of a general nonparametric estimate in the case of fixed design.

Keywords: Regression; function; nonparametric; estimators; integrated; square; error; central; limit; theorem; laws; of; large; numbers; martingale. (search for similar items in EconPapers)
Date: 1992
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Citations: View citations in EconPapers (3)

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