Book contents
- Frontmatter
- Contents
- Preface
- PART I INTRODUCTION
- 1 The meaning of ‘probability’
- 2 Basic definitions for frequentist statistics and Bayesian inference
- 3 Bayesian inference
- 4 Combinatorics
- 5 Random walks
- 6 Limit theorems
- 7 Continuous distributions
- 8 The central limit theorem
- 9 Poisson processes and waiting times
- PART II ASSIGNING PROBABILITIES
- PART III PARAMETER ESTIMATION
- 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
8 - The central limit theorem
from PART I - INTRODUCTION
Published online by Cambridge University Press: 05 July 2014
Book contents
- Frontmatter
- Contents
- Preface
- PART I INTRODUCTION
- 1 The meaning of ‘probability’
- 2 Basic definitions for frequentist statistics and Bayesian inference
- 3 Bayesian inference
- 4 Combinatorics
- 5 Random walks
- 6 Limit theorems
- 7 Continuous distributions
- 8 The central limit theorem
- 9 Poisson processes and waiting times
- PART II ASSIGNING PROBABILITIES
- PART III PARAMETER ESTIMATION
- 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
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- Information
- Bayesian Probability TheoryApplications in the Physical Sciences, pp. 139 - 146Publisher: Cambridge University PressPrint publication year: 2014