Statistical challenges in astronomy /
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 st...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
New York :
Springer,
[2003]
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book Connect to the full text of this electronic book |
| Summary: | 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. |
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| Item Description: | Contains papers from the third Statistical Challenges in Modern Astronomy (SCMA III) conference held at Penn State University, July 18-21 2001. Electronic resource. |
| Physical Description: | 1 online resource (xxii, 506 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 0387215298 (electronic bk.) 9780387215297 (electronic bk.) |