Practical Statistics for Astronomers

Practical Statistics for Astronomers

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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.Observations of the planets Mars and Saturn provided primary flux calibration, with Jupiter, effectively a point source but variable in ... The final beams (Hill et al. , 2009) are the result of heavy-duty processing by parallel processors, and include the use of ... defined, the real impediment to cosmological interpretation of any CMB measurement is our Galaxy, whose radio emission at ... The main purpose for WMAP to have five frequency bands is to measure and remove this foreground.


Title:Practical Statistics for Astronomers
Author: J. V. Wall, C. R. Jenkins
Publisher:Cambridge University Press - 2012-04-26
ISBN-13:

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