This paper studies the risks and bandwidth choices of a kernel estimate of the underlying density when the data are obtained from s independent biased samples. The main results of this paper give the asymptotic representation of the integrated squared errors and the mean integrated squared errors of
✦ LIBER ✦
Data-dependent bandwidth choice for a grade density kernel estimate
✍ Scribed by Jan Ćwik; Jan Mielniczuk
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 627 KB
- Volume
- 16
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
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In some long term studies, a series of dependent and possibly censored failure times may be observed. Suppose that the failure times have a common marginal distribution function having a density, and the nonparametric estimation of density and hazard rate under random censorship is of our interest.