Book contents
- Frontmatter
- Contents
- Preface
- 1 Introduction
- 2 Events and Probabilities
- 3 Random Variables, Means and Variances
- 4 Conditioning and Independence
- 5 Generating Functions; and the Central Limit Theorem
- 6 Confidence Intervals for one-parameter models
- 7 Conditional pdfs and multi-parameter Bayesian Statistics
- 8 Linear Models, ANOVA, etc
- 9 Some further Probability
- 10 Quantum Probability and Quantum Computing
- Appendix A Some Prerequisites and Addenda
- Appendix B Discussion of some Selected Exercises
- Appendix C Tables
- Appendix D A small Sample of the Literature
- Bibliography
- Index
Appendix C - Tables
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- Preface
- 1 Introduction
- 2 Events and Probabilities
- 3 Random Variables, Means and Variances
- 4 Conditioning and Independence
- 5 Generating Functions; and the Central Limit Theorem
- 6 Confidence Intervals for one-parameter models
- 7 Conditional pdfs and multi-parameter Bayesian Statistics
- 8 Linear Models, ANOVA, etc
- 9 Some further Probability
- 10 Quantum Probability and Quantum Computing
- Appendix A Some Prerequisites and Addenda
- Appendix B Discussion of some Selected Exercises
- Appendix C Tables
- Appendix D A small Sample of the Literature
- Bibliography
- 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%3A9781139164795/resource/name/firstPage-9781139164795apx3_p514-518_CBO.jpg)
- Type
- Chapter
- Information
- Weighing the OddsA Course in Probability and Statistics, pp. 514 - 518Publisher: Cambridge University PressPrint publication year: 2001