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
15 - Maximum likelihood method
from PART IV - STATISTICAL ESTIMATION
Published online by Cambridge University Press: 18 December 2009
- 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
Summary
![Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'](https://static.cambridge.org/content/id/urn%3Acambridge.org%3Aid%3Abook%3A9780511526480/resource/name/firstPage-9780511526480c15_p254-260_CBO.jpg)
- Type
- Chapter
- Information
- Dynamic Data AssimilationA Least Squares Approach, pp. 254 - 260Publisher: Cambridge University PressPrint publication year: 2006