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 |
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