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Computational methods for data evaluation and assimilation /

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"Data evaluation and data combination require the use of a wide range of probability theory concepts and tools, from deductive statistics mainly concerning frequencies and sample tallies to inductive inference for assimilating non-frequency data and a priori knowledge. Computational Methods for...

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Bibliographic Details
Main Authors: Cacuci, Dan Gabriel (Author), Navon, Ionel Michael (Author), Ionescu-Bujor, Mihaela (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Language Notes:English.
Published: Boca Raton : CRC Press, 2014.
Subjects:
Analysis of covariance.
Analysis of means.
Multivariate analysis.
Data integration (Computer science)
Analyse de covariance.
Analyse des moyennes (Statistique mathématique)
Analyse multivariée.
Intégration de données (Informatique)
MATHEMATICS > Applied.
Analysis of covariance
Analysis of means
Multivariate analysis
Electronic books.
Llibres electrònics.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 1. Experimental data evaluation : basic concepts
  • 2. Computation of means and variances from measurements
  • 3. Optimization methods for large-scale data assimilation
  • 4. Basic principles of 4-D VAR
  • 5. 4-D VAR in numerical weather prediction models
  • 6. Appendix A
  • 7. Appendix B
  • 8. Appendix C.