Cross-validation and non-parametric k nearest-neighbour estimation
โ Scribed by Desheng Ouyang; Dong Li; Qi Li
- Book ID
- 110880038
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- English
- Weight
- 346 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1368-4221
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
The k-Nearest Neighbour (k-NN) estimation and prediction technique is widely used to produce pixel-level predictions and areal estimates of continuous forest variables such as area and volume, often by subcategories such as species. An advantage of k-NN is that the same parameters (e.g., k-value, di
## Abstract Weather is one of the primary driving variables that prominently impacts agricultural production and associated disciplines, such as resource management. Lack of daily weather data for many locations along with many prognosis requirements for weather for various applications has resulte
New model-based estimators of the uncertainty of pixel-level and areal k-nearest neighbour (k nn ) predictions of attribute Y from remotely-sensed ancillary data X are presented. Non-parametric functions predict Y from scalar 'Single Index Model' transformations of X. Variance functions generated es