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
โฆ LIBER โฆ
Probability density function and estimation for error of digitized map coordinates in GIS
โ Scribed by Tong, Xiao-hua ;Liu, Da-jie
- Book ID
- 118300226
- Publisher
- Chinese Electronic Periodical Services
- Year
- 2004
- Tongue
- English
- Weight
- 512 KB
- Volume
- 11
- Category
- Article
- ISSN
- 1005-9784
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## Abstract This work presents a novel method for estimating missing values in daily precipitation series. It is aimed at identifying the event time location with good accuracy and reconstructing the correct amount of daily rainfall. In addition, the statistical properties of the time series, i.e.