Sprache: Englisch
Verlag: Cambridge University Press, New York, 2015
ISBN 10: 1107078563 ISBN 13: 9781107078567
Anbieter: Dan Pope Books, West Hartford, CT, USA
Erstausgabe
Hardcover. Zustand: Near Fine. No Jacket. 1st Edition. A near fine copy, first printing, first edition, clean, unmarked, tight binding, just some bruising to a couple of corners, issued without jacket.
Sprache: Englisch
Verlag: Cambridge University Press, 2015
ISBN 10: 1107078563 ISBN 13: 9781107078567
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 117,94
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2015
ISBN 10: 1107078563 ISBN 13: 9781107078567
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 170,61
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Addresses the intricate mathematical methods needed to extract scientific insights from large and complicated datasets. Editor(s): Heavens, Alan; Starck, Jean-Luc; Krone-Martins, Alberto. Series: Proceedings of the International Astronomical Union Symposia and Colloquia. Num Pages: 433 pages, 200 b/w illus. 20 tables. BIC Classification: 3JM; PBT; PGK. Category: (U) Tertiary Education (US: College). Dimension: 184 x 255 x 20. Weight in Grams: 840. . 2015. Hardback. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2015
ISBN 10: 1107078563 ISBN 13: 9781107078567
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 165,40
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 415 pages. 9.75x7.00x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2015
ISBN 10: 1107078563 ISBN 13: 9781107078567
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The advent of advanced astronomical instruments and huge surveys means that the twenty-first century is witnessing a rapid growth in astrostatistical science. Interpreting the cosmic microwave background, weak and strong gravitational lensing, galaxy clustering and other signatures of the early Universe all require advanced statistical techniques. Led by members of the IAU's newly formed Working Group in Astrostatistics and Astroinformatics, IAU Symposium 306 emphasises the intricate mathematical methods needed to extract scientific insights from large and complicated datasets. It contains contributions on Bayesian methods, weak lensing cosmology, CMB data analysis, cross-correlating datasets, large-scale structure, data mining and machine learning, ongoing surveys and the future Euclid mission. The approaches presented here provide a solid foundation to advance new research methods in cosmology, making it an essential text for the large community of astronomers and statisticians who will analyse and interpret the vast and growing amount of observational data.