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Strong Consistency of Kernel Regression Estimate
Department of Statistics and Finance, University of Science and Technology of China, Hefei, China
Department of Statistics and Finance, University of Science and Technology of China, Hefei, China
- 1 Department of Statistics and Finance, University of Science and Technology of China, Hefei, China
- 2 Department of Statistics and Finance, University of Science and Technology of China, Hefei, China
Open Journal of Statistics·Volume 03 (2013)·Pages 179–182·Published 13 June 2013·DOI10.4236/ojs.2013.33020
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Abstract
In this paper, regression function estimation from independent and identically distributed data is considered. We es tablish strong pointwise consistency of the famous Nadaraya-Watson estimator under weaker conditions which permit to apply kernels with unbounded support and even not integrable ones and provide a general approach for constructing strongly consistent kernel estimates of regression functions.
KeywordsKernel Regression EstimatorBandwidthStrong Pointwise Consistency
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