Statistics and the environment: The analysis of large‐scale earth‐oriented systems

Environmetrics

Volumn 2, Issue 1, 1991, Pages 5-24

  Thiébaux, H Jean ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

assessment; estimation; global scale; Kalman filtering; Kriging; monitoring; objective analysis; splines

Indexed keywords

DATABASE; GLOBAL SCALE DATABASE; KALMAN FILTER; KRIGING;

EID: 0026296003     PISSN: 11804009     EISSN: 1099095X     Source Type: Journal    
DOI: 10.1002/env.3770020104     Document Type: Article

References (14)

1. Kriging non‐stationary data
2. An operational objective analysis system
3. Optimum interpolation by Kriging
4. Sources of error in objective analysis
5. A new approach to linear filtering and prediction problems
6. New results in linear filtering and prediction theory
7. Least‐squares estimation: from Gauss to Kalman
8. Anisotropic correlation functions for objective analysis
9. Vector splines on the sphere, with applications to the estimation of vorticity and divergence fro discrete, noisy data
10. Some new mathematical methods for variational objective analysis using splines and cross‐validation