Automatic bandwidth selection for recursive kernel density estimators with length-biased data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Statistics and Probability
Link
http://link.springer.com/content/pdf/10.1007/s42081-019-00053-z.pdf
Reference41 articles.
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3. Bhattacharyya, F. L. A., & Richardson, B. G. D. (1988). A comparioson of nonparametric un- weighted and length-biased density estimation of fibres. Communications in Statistics-Theory and Methods, 17, 3629–3644.
4. Bojanic, R., & Seneta, E. (1973). A unified theory of regularly varying sequences. Mathematische Zeitschrift, 134, 91–106.
5. Borrajo, M. I., González-Manteiga, W., & Martìnez-Miranda, M. D. (2017). Bandwidth selection for Kernel density estimation with length-biased data. Journal of Nonparametric Statistics, 29, 636–668.
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