This paper considers the problem of estimating the error density and distribution function in nonparametric regression models. Su cient conditions are given under which the histogram error density estimator based on nonparametric residuals is uniformly weakly and strongly consistent, and L 1 -consis
Efficient nonparametric estimation of distribution density in the basis of algebraic polynomials
β Scribed by M. Radavicius
- Publisher
- Springer Netherlands
- Year
- 1995
- Tongue
- English
- Weight
- 785 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0167-8019
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