Krone martins alberto (5 Ergebnisse)

Hardcover. Zustand: Near Fine. No Jacket. 1st Edition. Cambridge University Press, New York, 2015. First edition. First printing. Hardcover. Near fine, issued without dust jacket. A tight, clean, unmarked copy, with light bruising to a couple of corners. Large 8vo. 415 pp., with index, approximately 200 black-and-white illustrations, and twenty tables. Proceedings of IAU Symposium No. 306, "Statistical Challenges in 21st Century Cosmology," held in Lisbon, Portugal, May 25-29, 2014. Edited by Alan Heavens, Jean-Luc Starck, and Alberto Krone-Martins. A collection addressing advanced statistical and mathematical methods for extracting cosmological information from increasingly large and complex astronomical datasets. F600.…

Zustand: New. In English.

Zustand: 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.…

Hardcover. Zustand: Brand New. 415 pages. 9.75x7.00x0.75 inches. In Stock.

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.…