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Modern Statistical Methods for Astronomy
Eric D. Feigelson & G. Jogesh Babu Cambridge University Press (2012)
Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to advanced statistics through ready-to-use code in the public domain R statistical software environment. The book presents fundamental results of probability theory and statistical inference, before exploring several fields of applied statistics, such as data smoothing, regression, multivariate analysis and classification, treatment of nondetections, time series analysis, and spatial point processes.It applies the methods discussed to contemporary astronomical research datasets using the R statistical software, making it an invaluable resource for graduate students and researchers facing complex data analysis tasks.
Eric D. Feigelson is a Professor in the Department of Astronomy and Astrophysics at Pennsylvania State University. He is a leading observational astronomer and has worked with statisticians for 25 years to bring advanced methodology to problems in astronomical research. G. Jogesh Babu is Professor of Statistics and Director of the Center for Astrostatistics at Pennsylvania State University. He has made extensive contributions to probabilistic number theory, resampling methods, nonparametric methods, asymptotic theory and applications to biomedical research, genetics, astronomy, and astrophysics.
A 20% discount form is available here.
See the Table of Contents and Preface for the volume's goals, audience, and topics.
See the R scripts for self-contained cut-and-paste R code from the volume.
The astronomical datasets used in the R scripts can be downloaded.
The authors welcome any comments on the book.