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Kernel estimation of entropy function under length-biased sampling.
- Source :
-
Communications in Statistics: Theory & Methods . 2022, Vol. 51 Issue 24, p8684-8693. 10p. - Publication Year :
- 2022
-
Abstract
- In this paper, we propose nonparametric kernel estimators for Shannon differential entropy function under length-biased sampling. Asymptotic properties of the estimators are established under suitable regularity conditions. A simulation study is accomplished to compare the performance of proposed estimators. The usefulness of the estimators are also examined using a real data. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03610926
- Volume :
- 51
- Issue :
- 24
- Database :
- Academic Search Index
- Journal :
- Communications in Statistics: Theory & Methods
- Publication Type :
- Academic Journal
- Accession number :
- 160164852
- Full Text :
- https://doi.org/10.1080/03610926.2021.1904987