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 s...

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Bibliographic Details

Main Author:	Wall, J. V. (Author)
Format:	Electronic eBook
Language:	English
Published:	Cambridge Cambridge University Press 2003
Series:	Cambridge observing handbooks for research astronomers 3
Subjects:	Statistical astronomy Astronomie Statistik Lehrbuch
Online Access:	BSB01 FHN01 Volltext
Summary:	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
Item Description:	Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Physical Description:	1 online resource (xv, 277 pages)
ISBN:	9780511536618
DOI:	10.1017/CBO9780511536618