A Generalized Class of Varying Kernel Regression Estimators

dc.contributor.author	Bhat, Sharada V.
dc.contributor.author	Deshpande, Bhargavi
dc.date.accessioned	2019-10-29T10:01:33Z
dc.date.available	2019-10-29T10:01:33Z
dc.date.issued	2019-11-01
dc.identifier.uri	https://journal.uob.edu.bh:443/handle/123456789/3650
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	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
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.identifier.doi	http://dx.doi.org/10.12785/ijcts/060205
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