Statistical Challenges in Astronomy

Jogesh Babu

ISBN 10: 1441930485 / ISBN 13: 9781441930484

Published by Springer New York, Springer US, 2010

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Digital sky surveys, high-precision astrometry from satellite data, deep-space data from orbiting telescopes, and the like have all increased the quantity and quality of astronomical data by orders of magnitude per year for several years. Making sense of this wealth of data requires sophisticated statistical techniques. Fortunately, statistical methodologies have similarly made great strides in recent years. Powerful synergies thus emerge when astronomers and statisticians join in examining astrostatistical problems and approaches.The book begins with an historical overview and tutorial articles on basic cosmology for statisticians and the principles of Bayesian analysis for astronomers. As in earlier volumes in this series, research contributions discussing topics in one field are joined with commentary from scholars in the other. Thus, for example, an overview of Bayesian methods for Poissonian data is joined by discussions of planning astronomical observations with optimal efficiency and nested models to deal with instrumental effects.The principal theme for the volume is the statistical methods needed to model fundamental characteristics of the early universe on its largest scales.

Seller Inventory # 9781441930484

Bibliographic Details

• Title: Statistical Challenges in Astronomy
• Publisher: Springer New York, Springer US
• Publication Date: 2010
• Language: English
• ISBN 10: 1441930485
• ISBN 13: 9781441930484
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 29D millimeters 235 millimeters width by 155 millimeters height by 29 millimeters depth
• Weight: 797 grams

About this title

Synopsis

The quantity and quality of astronomical data has increased by orders of magnitude in recent years; similarly, statistical methodologies have also made great strides recently. This volume shows how powerful synergies emerge when astronomers and statisticians join in examining astrostatistical problems and approaches. Its principal theme is the statistical methods needed to model fundamental characteristics of the early universe on its largest scales.