Modern Statistical Methods for Astronomy (Hardcover)

Language: English

Published by Cambridge University Press, Cambridge, 2012

052176727X / 9780521767279

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Hardcover. 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 invaluable for graduate students and researchers facing complex data analysis tasks. A link to the author's website for this book can be found at Material available on their website includes datasets, R code and errata. Linking astronomy to the world of modern statistics, this book is a unique resource introducing astronomers to advanced statistics through ready-to-use code in the public domain R statistical software environment. Examining fields of statistics applicable to astronomy, this is invaluable for graduate students and researchers facing complex data analysis tasks. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Title
Modern Statistical Methods for Astronomy (Hardcover)
Author
Eric D. Feigelson
Publisher
Cambridge University Press, Cambridge
Publication year
2012
Condition
new
Binding
Hardcover
Language
English
ISBN 10
052176727X
ISBN 13
9780521767279

CitiRetail

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AbeBooks seller since June 29, 2022

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