Non-parametric density estimation is the problem of approximating the values of a probability density function, given samples from the associated distribution. Non-parametric estimation ยฎnds applications in discriminant analysis, cluster analysis, and ยฏow calculations based on Smoothed Particle Hydr
โฆ LIBER โฆ
Non-parametric estimates of overlap
โ Scribed by Robert A. Stine; Joseph F. Heyse
- Publisher
- John Wiley and Sons
- Year
- 2001
- Tongue
- English
- Weight
- 160 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0277-6715
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