Practical Statistics for Astronomers (Cambridge Observing Handbooks for Research Astronomers)

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9780521456166: Practical Statistics for Astronomers (Cambridge Observing Handbooks for Research Astronomers)

Presenting the most relevant statistical and probabilistic technology in observational astronomy, this practical handbook covers classical parametric and non-parametric methods. There is also, however, a strong emphasis on Bayesian solutions and the importance of probability in experimental inference. The book contains many solved examples, and includes over fifty problems, with solutions available on the web via http://books.cambridge.org/0521454166.htm.

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Book Description:

This practical handbook presents the most relevant statistical and probabilistic machinery for use in observational astronomy. Classical parametric and non-parametric methods are covered, but there is a strong emphasis on Bayesian solutions and the importance of probability in experimental inference. The book contains many worked examples, and problems that make use of databases which are available on the Web. It is suitable for self-study at advanced undergraduate or graduate level, as a reference for professional astronomers, and as a textbook basis for courses in statistical methods in astronomy.

About the Author:

Jasper Wall is Professor of Astrophysics in the Department of Astrophysics, University of Oxford.

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J. V. Wall; C. R. Jenkins
Published by Cambridge University Press (2003)
ISBN 10: 0521456169 ISBN 13: 9780521456166
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J. V. Wall, C. R. Jenkins
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Book Description CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2003. Paperback. Book Condition: New. New.. Language: English . Brand New Book. Astronomy, like any experimental subject, needs statistical methods to interpret data reliably. This practical handbook presents the most relevant statistical and probabilistic machinery for use in observational astronomy. Classical parametric and non-parametric methods are covered, but there is a strong emphasis on Bayesian solutions and the importance of probability in experimental inference. Chapters cover basic probability, correlation analysis, hypothesis testing, Bayesian modelling, time series analysis, luminosity functions, and clustering. The book avoids the technical language of statistics in favour of demonstrating astronomical relevance and applicability. It contains many worked examples, and problems that make use of databases which are available on the Web. It is suitable for self-study at advanced undergraduate or graduate level, as a reference for professional astronomers, and as a textbook basis for courses in statistical methods in astronomy. Bookseller Inventory # LIO9780521456166

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Wall, J. V., Jenkins, C. R.
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J. V. Wall, C. R. Jenkins
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ISBN 10: 0521456169 ISBN 13: 9780521456166
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Book Description CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2003. Paperback. Book Condition: New. New.. Language: English . Brand New Book. Astronomy, like any experimental subject, needs statistical methods to interpret data reliably. This practical handbook presents the most relevant statistical and probabilistic machinery for use in observational astronomy. Classical parametric and non-parametric methods are covered, but there is a strong emphasis on Bayesian solutions and the importance of probability in experimental inference. Chapters cover basic probability, correlation analysis, hypothesis testing, Bayesian modelling, time series analysis, luminosity functions, and clustering. The book avoids the technical language of statistics in favour of demonstrating astronomical relevance and applicability. It contains many worked examples, and problems that make use of databases which are available on the Web. It is suitable for self-study at advanced undergraduate or graduate level, as a reference for professional astronomers, and as a textbook basis for courses in statistical methods in astronomy. Bookseller Inventory # LIO9780521456166

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Book Description Cambridge University Press. PAPERBACK. Book Condition: New. 0521456169 New Condition. Bookseller Inventory # NEW7.0206634

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