Book contents
- Frontmatter
- Contents
- Preface
- PART I INTRODUCTION
- PART II ASSIGNING PROBABILITIES
- PART III PARAMETER ESTIMATION
- 14 Bayesian parameter estimation
- 15 Frequentist parameter estimation
- 16 The Cramer–Rao inequality
- PART IV TESTING HYPOTHESES
- PART V REAL-WORLD APPLICATIONS
- PART VI PROBABILISTIC NUMERICAL TECHNIQUES
- Appendix A Mathematical compendium
- Appendix B Selected proofs and derivations
- Appendix C Symbols and notation
- References
- Index
15 - Frequentist parameter estimation
from PART III - PARAMETER ESTIMATION
Published online by Cambridge University Press: 05 July 2014
- Frontmatter
- Contents
- Preface
- PART I INTRODUCTION
- PART II ASSIGNING PROBABILITIES
- PART III PARAMETER ESTIMATION
- 14 Bayesian parameter estimation
- 15 Frequentist parameter estimation
- 16 The Cramer–Rao inequality
- PART IV TESTING HYPOTHESES
- PART V REAL-WORLD APPLICATIONS
- PART VI PROBABILISTIC NUMERICAL TECHNIQUES
- Appendix A Mathematical compendium
- Appendix B Selected proofs and derivations
- Appendix C Symbols and notation
- References
- Index
Summary
- Type
- Chapter
- Information
- Bayesian Probability TheoryApplications in the Physical Sciences, pp. 236 - 247Publisher: Cambridge University PressPrint publication year: 2014