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
β¦ LIBER β¦
The effects of kernel choices in density estimation with biased data
β Scribed by Colin O. Wu
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 498 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0167-7152
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