Modern statistical methods for astronomy : with R applications / Eric D. Feigelson, Pennsylvania State University, G. Jogesh Babu, Pennsylvania State University.

By:

Feigelson, Eric D [author.]

Contributor(s):

Babu, Gutti Jogesh, 1949- [author.]

Material type:

TextPublisher: Cambridge ; New York : Cambridge University Press, 2014Edition: Description: xviii, 476 pages : illustrations (some color) ; 26 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780521767279 (hardback)

Subject(s):

Genre/Form:

-- Reading book

DDC classification:

520.15195 FEI 22

Summary: "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. Yet most astronomers still use a narrow suite of traditional statistical methods. 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"--

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Book - Borrowing	Central Library First floor		Baccah		520.15195 FEI (Browse shelf(Opens below))					Available			000038507

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Previous	520 LEC Lecture-tutorials : for introductory astronomy /	520 SNO Essentials of the dynamic universe : an introduction to astronomy /	520.076 PAL Schaum’s outline of theory and problems of astronomy /	520.15195 FEI Modern statistical methods for astronomy : with R applications /	520.3 DIC A dictionary of astronomy /	520.3 MCG McGraw-Hill dictionary of astronomy.	520.3 MCG McGraw-Hill dictionary of astronomy.	Next

First published 2012.

Includes bibliographical references and index.

"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. Yet most astronomers still use a narrow suite of traditional statistical methods. 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"--

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Modern statistical methods for astronomy : with R applications / Eric D. Feigelson, Pennsylvania State University, G. Jogesh Babu, Pennsylvania State University.

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