» » Statistical Challenges in Astronomy

Statistical Challenges in Astronomy ePub download

by Eric D. Feigelson,Jogesh Babu

  • Author: Eric D. Feigelson,Jogesh Babu
  • ISBN: 0387955461
  • ISBN13: 978-0387955469
  • ePub: 1351 kb | FB2: 1879 kb
  • Language: English
  • Category: Mathematics
  • Publisher: Springer; 2003 edition (January 14, 2003)
  • Pages: 506
  • Rating: 4.7/5
  • Votes: 870
  • Format: mbr lit rtf azw
Statistical Challenges in Astronomy ePub download

Download books for free.

Download books for free.

Modern astronomy has been characterized by an enormous growth in data acquisition - from new technologies in telescopes, detectors, and computation.

price for Mexico (gross). Modern astronomy has been characterized by an enormous growth in data acquisition - from new technologies in telescopes, detectors, and computation. This wealth of data gives rise to statistical challenges not previously encountered in astronomy.

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. Making sense of this wealth of data requires sophisticated statistical and data analytic 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

Fortunately, statistical methodologies have similarly made great strides in recent years. The book begins with an historical overview and tutorial articles on basic cosmology for statisticians and the principles of Bayesian analysis for astronomers.

Modern astronomy has been characterized by an enormous growth in data acquisition - from new technologies in telescopes, detectors, and computation

eBook 74,96 €. price for Russian Federation (gross). Statistical Challenges in Astronomy. By Eric D. Feigelson, G. Jogesh Babu.

Read instantly in your browser. ISBN-13: 978-0387979113. The 13-digit and 10-digit formats both work.

This volume contains a selection of chapters based on papers to be presented at the Fifth Statistical Challenges in Modern Astronomy Symposium.

Covers wide range of advances in statistical astronomy. This volume contains a selection of chapters based on papers to be presented at the Fifth Statistical Challenges in Modern Astronomy Symposium. The symposium will be held June 13-15th at Penn State University.

Автор: G. Jogesh Babu; Eric D. Feigelson Название: Statistical Challenges in Modern Astronomy II ISBN . This book is invaluable to students and practitioners interested in statistical mechanics and physics.

This book is invaluable to students and practitioners interested in statistical mechanics and physics. Lindenberg Katja Название: Modern Challenges in Statistical Mechanics, Patterns, Noise, and the Interplay of Nonlinearity and Complexity; Pan Advanced Studies Insitute.

Statistical Challenges in Astronomy book.

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.