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A Generalized Class of Varying Kernel Regression Estimators

Show simple item record Bhat, Sharada V. Deshpande, Bhargavi 2019-10-29T10:01:33Z 2019-10-29T10:01:33Z 2019-11-01
dc.description.abstract Nadaraya-Watson (NW) estimator with fixed bandwidth and its adaptive forms with varying bandwidths are widely used kernel regression estimators in nonparametric regression. In this paper, we propose a generalized class of varying kernel regression estimators with its members based on various statistical measures of pilot density estimates. We study the performance of the members of this class in terms of mean integrated squared error (MISE). en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri *
dc.subject Nonparametric Regression en_US
dc.subject Kernel Regression Estimator en_US
dc.subject Statistical Measures en_US
dc.subject Varying Bandwidth en_US
dc.subject Pilot Density Estimates en_US
dc.subject Mean Integrated Squared Error (MISE) en_US
dc.title A Generalized Class of Varying Kernel Regression Estimators en_US
dc.volume Volume 6 en_US
dc.issue Issue 2 en_US
dc.contributor.authorcountry India en_US
dc.contributor.authoraffiliation Department of Statistics, Karnatak University, Dharwad, Karnataka, India en_US
dc.source.title International Journal of Computational and Theoretical Statistics en_US

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