Practical statistics for astronomers:
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...
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Main Author: | |
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Format: | Electronic eBook |
Language: | English |
Published: |
Cambridge
Cambridge University Press
2012
|
Edition: | Second edition |
Series: | Cambridge observing handbooks for research astronomers
8 |
Subjects: | |
Online Access: | BSB01 FHN01 UER01 Volltext |
Summary: | 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 |
Item Description: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
Physical Description: | 1 online resource (xix, 353 pages) |
ISBN: | 9781139031998 |
DOI: | 10.1017/CBO9781139031998 |
Staff View
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520 | |a 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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author | Wall, J. V. 1942- |
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author_facet | Wall, J. V. 1942- |
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contents | Machine generated contents note: 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; Appendices; References; Index |
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dewey-search | 519.5024/52 |
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discipline | Physik Mathematik |
doi_str_mv | 10.1017/CBO9781139031998 |
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institution | BVB |
isbn | 9781139031998 |
language | English |
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spelling | Wall, J. V. 1942- Verfasser (DE-588)102422046X aut Practical statistics for astronomers J. V. Wall, C. R. Jenkins Second edition Cambridge Cambridge University Press 2012 1 online resource (xix, 353 pages) txt rdacontent c rdamedia cr rdacarrier Cambridge observing handbooks for research astronomers 8 Title from publisher's bibliographic system (viewed on 05 Oct 2015) Machine generated contents note: 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; Appendices; References; Index 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 Statistical astronomy Statistik (DE-588)4056995-0 gnd rswk-swf Astronomie (DE-588)4003311-9 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Astronomie (DE-588)4003311-9 s Statistik (DE-588)4056995-0 s 2\p DE-604 Jenkins, C. R. 1955- Sonstige (DE-588)1024222365 oth Erscheint auch als Druck-Ausgabe 978-0-521-51968-7 Erscheint auch als Druck-Ausgabe, Paperback 978-0-521-73249-9 https://doi.org/10.1017/CBO9781139031998 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Wall, J. V. 1942- Practical statistics for astronomers Machine generated contents note: 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; Appendices; References; Index Statistical astronomy Statistik (DE-588)4056995-0 gnd Astronomie (DE-588)4003311-9 gnd |
subject_GND | (DE-588)4056995-0 (DE-588)4003311-9 (DE-588)4123623-3 |
title | Practical statistics for astronomers |
title_auth | Practical statistics for astronomers |
title_exact_search | Practical statistics for astronomers |
title_full | Practical statistics for astronomers J. V. Wall, C. R. Jenkins |
title_fullStr | Practical statistics for astronomers J. V. Wall, C. R. Jenkins |
title_full_unstemmed | Practical statistics for astronomers J. V. Wall, C. R. Jenkins |
title_short | Practical statistics for astronomers |
title_sort | practical statistics for astronomers |
topic | Statistical astronomy Statistik (DE-588)4056995-0 gnd Astronomie (DE-588)4003311-9 gnd |
topic_facet | Statistical astronomy Statistik Astronomie Lehrbuch |
url | https://doi.org/10.1017/CBO9781139031998 |
work_keys_str_mv | AT walljv practicalstatisticsforastronomers AT jenkinscr practicalstatisticsforastronomers |