Practical Statistics for Astronomers
eBook - PDF

Practical Statistics for Astronomers

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Practical Statistics for Astronomers

About this book

Astronomy needs statistical methods to interpret data, but statistics is a many-faceted subject that is difficult for non-specialists to access. This handbook helps astronomers analyze the complex data and models of modern astronomy. This second edition has been revised to feature many more examples using Monte Carlo simulations, and now also includes Bayesian inference, Bayes factors and Markov chain Monte Carlo integration. Chapters cover basic probability, correlation analysis, hypothesis testing, Bayesian modelling, time series analysis, luminosity functions and clustering. Exercises at the end of each chapter guide readers through the techniques and tests necessary for most observational investigations. The data tables, solutions to problems, and other resources are available online at www.cambridge.org/9780521732499. Bringing together the most relevant statistical and probabilistic techniques for use in observational astronomy, this handbook is a practical manual for advanced undergraduate and graduate students and professional astronomers.

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Yes, you can access Practical Statistics for Astronomers by J. V. Wall,C. R. Jenkins in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Astronomy & Astrophysics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Practical Statistics for Astronomers, Second Edition
  3. Cover insets
  4. Cambridge Observing Handbooks for Research Astronomers
  5. Title
  6. Copyright
  7. Contents
  8. Foreword to first edition
  9. Foreword to second edition
  10. Note on notation
  11. 1 Decision
  12. 2 Probability
  13. 3 Statistics and expectations
  14. 4 Correlation and association
  15. 5 Hypothesis testing
  16. 6 Data modelling and parameter estimation: basics
  17. 7 Data modelling and parameter estimation: advanced topics
  18. 8 Detection and surveys
  19. 9 Sequential data – 1D statistics
  20. 10 Statistics of large-scale structure
  21. 11 Epilogue: statistics and our Universe
  22. Appendix A: The literature
  23. Appendix B: Statistical tables
  24. References
  25. Index