Book contents
- Frontmatter
- Contents
- Dedication
- Foreword to first edition
- Foreword to second edition
- Note on notation
- 1 Decision
- 2 Probability
- 3 Statistics and expectations
- 4 Correlation and association
- 5 Hypothesis testing
- 6 Data modelling and parameter estimation: basics
- 7 Data modelling and parameter estimation: advanced topics
- 8 Detection and surveys
- 9 Sequential data – 1D statistics
- 10 Statistics of large-scale structure
- 11 Epilogue: statistics and our Universe
- Appendix A The literature
- Appendix B Statistical tables
- References
- Index
Foreword to first edition
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- Dedication
- Foreword to first edition
- Foreword to second edition
- Note on notation
- 1 Decision
- 2 Probability
- 3 Statistics and expectations
- 4 Correlation and association
- 5 Hypothesis testing
- 6 Data modelling and parameter estimation: basics
- 7 Data modelling and parameter estimation: advanced topics
- 8 Detection and surveys
- 9 Sequential data – 1D statistics
- 10 Statistics of large-scale structure
- 11 Epilogue: statistics and our Universe
- Appendix A The literature
- Appendix B Statistical tables
- References
- Index
Summary
Peter Scheuer started this. In 1977 hewalked into JVW's office in the Cavendish Lab and quietly asked for advice on what further material should be taught to the new intake of Radio Astronomy graduate students (that year including the hapless CRJ). JVW, wrestling with simple Chi-square testing at the time, blurted out ‘They know nothing about practical statistics …’. Peter left thoughtfully. A day later he returned. ‘Good news! The Management Board has decided that the students are going to have a course on practical statistics.’ Can I sit in, JVW asked innocently. ‘Better news! The Management Board has decided that you're going to teach it …’.
So, for us, began the notion of practical statistics. A subject that began with gambling is not an arcane academic pursuit, but it is certainly subtle as well. It is fitting that Peter Scheuer was involved at the beginning of this (lengthy) project; his style of science exemplified both subtlety and pragmatism. We hope that we can convey something of both. If an echo of Peter's booming laugh is sometimes heard in these pages, it is because we both learned from him that a useful answer is often much easier – and certainly much more entertaining – than you at first think.
After the initial course, the material for this book grew out of various further courses, journal articles and the abundant personal experience that results from understanding just a little of any field of knowledge that counts Gauss and Laplace amongst its originators.
- Type
- Chapter
- Information
- Practical Statistics for Astronomers , pp. xiii - xivPublisher: Cambridge University PressPrint publication year: 2012