Large errors for statistical estimates of density distributions
โ Scribed by A. Kazbaras
- Publisher
- Springer
- Year
- 1980
- Tongue
- English
- Weight
- 232 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0363-1672
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๐ SIMILAR VOLUMES
For estimating the effects of a number of systematic errors on a data sample, one can generate Monte Carlo (MC) runs with systematic parameters varied and examine the change in the desired observed result. Two methods are often used. In the unisim method, 1 the systematic parameters are varied one a
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