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Sinopsis
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.
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Reseña del editor
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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Statistical Challenges in Astronomy
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Statistical Challenges in Astronomy
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Statistical Challenges in Astronomy
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Springer New York Dez 2010, 2010
ISBN 10: 1441930485
ISBN 13: 9781441930484
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 532 pp. Englisch. Nº de ref. del artículo: 9781441930484
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. Nº de ref. del artículo: 4173509
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Statistical Challenges in Astronomy
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Statistical Challenges in Astronomy
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Condición: New. pp. 530. Nº de ref. del artículo: 263068052
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Statistical Challenges in Astronomy
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Springer New York, Springer US Dez 2010, 2010
ISBN 10: 1441930485
ISBN 13: 9781441930484
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 532 pp. Englisch. Nº de ref. del artículo: 9781441930484
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Statistical Challenges in Astronomy
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Springer New York, Springer US, 2010
ISBN 10: 1441930485
ISBN 13: 9781441930484
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Taschenbuch. Condición: Neu. 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. Nº de ref. del artículo: 9781441930484
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