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Modern Statistical Methods for Astronomy - With R Applications (Hardcover, New) Loot Price: R2,512
Discovery Miles 25 120
Modern Statistical Methods for Astronomy - With R Applications (Hardcover, New): Eric D. Feigelson, G. Jogesh Babu

Modern Statistical Methods for Astronomy - With R Applications (Hardcover, New)

Eric D. Feigelson, G. Jogesh Babu

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Loot Price R2,512 Discovery Miles 25 120 | Repayment Terms: R235 pm x 12*

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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 www.cambridge.org/msma. Material available on their website includes datasets, R code and errata. Visit the author's homepage at http: //astrostatistics.psu.edu for more materials.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: July 2012
First published: September 2012
Authors: Eric D. Feigelson • G. Jogesh Babu
Dimensions: 253 x 195 x 28mm (L x W x T)
Format: Hardcover
Pages: 490
Edition: New
ISBN-13: 978-0-521-76727-9
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Astronomy, space & time > General
LSN: 0-521-76727-X
Barcode: 9780521767279

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