Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgements
- PART 1 GENESIS OF DATA ASSIMILATION
- PART II DATA ASSIMILATION: DETERMINISTIC/STATIC MODELS
- PART III COMPUTATIONAL TECHNIQUES
- PART IV STATISTICAL ESTIMATION
- 13 Principles of statistical estimation
- 14 Statistical least squares estimation
- 15 Maximum likelihood method
- 16 Bayesian estimation method
- 17 From Gauss to Kalman: sequential, linear minimum variance estimation
- PART V DATA ASSIMILATION: STOCHASTIC/STATIC MODELS
- PART VI DATA ASSIMILATION: DETERMINISTIC/DYNAMIC MODELS
- PART VII DATA ASSIMILATION: STOCHASTIC/DYNAMIC MODELS
- PART VIII PREDICTABILITY
- Epilogue
- References
- Index
13 - Principles of statistical estimation
from PART IV - STATISTICAL ESTIMATION
Published online by Cambridge University Press: 18 December 2009
Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgements
- PART 1 GENESIS OF DATA ASSIMILATION
- PART II DATA ASSIMILATION: DETERMINISTIC/STATIC MODELS
- PART III COMPUTATIONAL TECHNIQUES
- PART IV STATISTICAL ESTIMATION
- 13 Principles of statistical estimation
- 14 Statistical least squares estimation
- 15 Maximum likelihood method
- 16 Bayesian estimation method
- 17 From Gauss to Kalman: sequential, linear minimum variance estimation
- PART V DATA ASSIMILATION: STOCHASTIC/STATIC MODELS
- PART VI DATA ASSIMILATION: DETERMINISTIC/DYNAMIC MODELS
- PART VII DATA ASSIMILATION: STOCHASTIC/DYNAMIC MODELS
- PART VIII PREDICTABILITY
- Epilogue
- References
- Index
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- Dynamic Data AssimilationA Least Squares Approach, pp. 227 - 239Publisher: Cambridge University PressPrint publication year: 2006