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Jones, M. C.
(1991).
DOI: https://doi.org/10.1093/biomet/78.3.511
Abstract
A new kernel density estimator for length biased data which derives from smoothing the nonparametric maximum likelihood estimator is proposed and investigated. It has various advantages over an alternative method suggested by Bhattacharyya, Franklin & Richardson (1988): it is necessarily a probability density, it is particularly better behaved near zero, it has better asymptotic mean integrated squared error properties and it is more readily extendable to related problems such as density derivative estimation.
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About
- Item ORO ID
- 28306
- Item Type
- Journal Item
- ISSN
- 1464-3510
- Keywords
- density estimation; nonparametric maximum likelihood estimator; smoothing; weighted distribution
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Copyright Holders
- © 1991 Biometrika Trust
- Depositing User
- Sarah Frain