Astrostatistics and Data Mining: 2 2012th Edition

Astrostatistics and Data Mining: 2 2012th Edition book cover

Astrostatistics and Data Mining: 2 2012th Edition

Author(s): Luis Manuel Sarro (Editor), Laurent Eyer (Editor), William O'Mullane (Editor), Joris De Ridder (Editor)

  • Publisher: Springer
  • Publication Date: 4 Aug. 2012
  • Edition: 2012th
  • Language: English
  • Print length: 284 pages
  • ISBN-10: 1461433223
  • ISBN-13: 9781461433224

Book Description

​​​​​ ​This volume provides an overview of the field of Astrostatistics understood as the sub-discipline dedicated to the statistical analysis of astronomical data. It presents examples of the application of the various methodologies now available to current open issues in astronomical research. The technical aspects related to the scientific analysis of the upcoming petabyte-scale databases are emphasized given the importance that scalable Knowledge Discovery techniques will have for the full exploitation of these databases.

Based on the 2011 Astrostatistics and Data Mining in Large Astronomical Databases conference and school, this volume gathers examples of the work by leading authors in the areas of Astrophysics and Statistics, including a significant contribution from the various teams that prepared for the processing and analysis of the Gaia data.  

Editorial Reviews

Review

From the book reviews:

“This book is the result of a 2011 Workshop on Astrostatistics and Data Mining, held on the island of in La Palma. … The book provides a convenient description of many new and planned datasets, with relatively succinct statistical analyses, many of which adopt a Bayesian framework. I believe the book will be most appreciated by astronomers and applied statisticians and note that the four editors include a statistician and several astronomers.” (Thomas Burr, Technometrics, Vol. 55 (4), November, 2013)

From the Back Cover

This volume provides an overview of the field of Astrostatistics understood as the sub-discipline dedicated to the statistical analysis of astronomical data. It presents examples of the application of the various methodologies now available to current open issues in astronomical research. The technical aspects related to the scientific analysis of the upcoming petabyte-scale databases are emphasized given the importance that scalable Knowledge Discovery techniques will have for the full exploitation of these databases.

Based on the 2011 Astrostatistics and Data Mining in Large Astronomical Databases conference and school, this volume gathers examples of the work by leading authors in the areas of Astrophysics and Statistics, including a significant contribution from the various teams that prepared for the processing and analysis of the Gaia data.

View on Amazon

电子书代发PDF格式价格30我要求助
未经允许不得转载:Wow! eBook » Astrostatistics and Data Mining: 2 2012th Edition