Practical Statistics for Astronomers

✍ Scribed by J. V. Wall, C. R. Jenkins

Publisher: Cambridge University Press
Year: 2012
Tongue: English
Leaves: 374
Series: Cambridge Observing Handbooks for Research Astronomers, 8
Edition: 2
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Cover Page
Frontmatter
Contents
Preface
Foreword
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:
8 - Detection and surveys
9 - Sequential data – 1D statistics
10 - Statistics of large-scale structure
11 - Epilogue: statistics and our Universe
Appendix A
Appendix B
References
Index

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