Editore: Cambridge University Press, 2012
ISBN 10: 052176727X ISBN 13: 9780521767279
Lingua: Inglese
Da: No Alternative Books, Greenfield, MA, U.S.A.
Prima edizione
Hardcover. Condizione: Fair. 1st Edition. Hardcover. On page 124-125, the binding is beginning to split into 2 chunks, but is currently holding together well. Library stamps on edges of textblock and flyleafs. Otherwise, text clean, attractive and unmarked. No other library markings. Wear to cover from use (light bumping along edges and corners, corners rubbed).
Editore: Cambridge University Press, 2012
ISBN 10: 052176727X ISBN 13: 9780521767279
Lingua: Inglese
Da: HPB-Red, Dallas, TX, U.S.A.
hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Editore: Cambridge University Press, 2012
ISBN 10: 052176727X ISBN 13: 9780521767279
Lingua: Inglese
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Editore: Cambridge University Press, 2012
ISBN 10: 052176727X ISBN 13: 9780521767279
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Editore: Cambridge University Press, 2012
ISBN 10: 052176727X ISBN 13: 9780521767279
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Editore: Cambridge University Press, 2012
ISBN 10: 052176727X ISBN 13: 9780521767279
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Editore: Cambridge University Press, 2012
ISBN 10: 052176727X ISBN 13: 9780521767279
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Editore: Cambridge University Press CUP, 2012
ISBN 10: 052176727X ISBN 13: 9780521767279
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 490.
Editore: Cambridge University Press, Cambridge, 2012
ISBN 10: 052176727X ISBN 13: 9780521767279
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, 2012
ISBN 10: 052176727X ISBN 13: 9780521767279
Lingua: Inglese
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Editore: Cambridge University Press, 2012
ISBN 10: 052176727X ISBN 13: 9780521767279
Lingua: Inglese
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Editore: Cambridge University Press, 2012
ISBN 10: 052176727X ISBN 13: 9780521767279
Lingua: Inglese
Da: GoldBooks, Denver, CO, U.S.A.
Condizione: new.
Editore: Cambridge University Press, 2012
ISBN 10: 052176727X ISBN 13: 9780521767279
Lingua: Inglese
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Editore: Cambridge University Press, Cambridge, 2012
ISBN 10: 052176727X ISBN 13: 9780521767279
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Aggiungi al carrelloHardcover. Condizione: new. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Cambridge University Press, Cambridge, 2012
ISBN 10: 052176727X ISBN 13: 9780521767279
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 145,49
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Aggiungi al carrelloHardcover. Condizione: new. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 490 pages. 9.76x7.56x1.02 inches. In Stock.
Editore: Cambridge University Press, 2012
ISBN 10: 052176727X ISBN 13: 9780521767279
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - A unique resource introducing graduate students and researchers in astronomy to advanced statistics through ready-to-use code.
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Editore: Cambridge University Press, 2012
ISBN 10: 052176727X ISBN 13: 9780521767279
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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Editore: Cambridge University Press, 2017
ISBN 10: 052176727X ISBN 13: 9780521767279
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 115,40
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 t.
Editore: Cambridge University Press, 2017
ISBN 10: 052176727X ISBN 13: 9780521767279
Lingua: Inglese
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Aggiungi al carrelloBuch. Condizione: Neu. Modern Statistical Methods for Astronomy | Eric D. Feigelson (u. a.) | Buch | Gebunden | Englisch | 2017 | Cambridge University Press | EAN 9780521767279 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.