Eric D. Feigelson & Jogesh Babu 
Statistical Challenges in Modern Astronomy V [PDF ebook] 

Dukung

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. Modern astronomical research faces a vast range of statistical issues which have spawned a revival in methodological activity among astronomers. The Statistical Challenges in Modern Astronomy V conference will bring astronomers and statisticians together to discuss methodological issues of common interest. Time series analysis, image analysis, Bayesian methods, Poisson processes, nonlinear regression, maximum likelihood, multivariate classification, and wavelet and multiscale analyses are all important themes to be covered in detail. Many problems will be introduced at the conference in the context of large-scale astronomical projects including LIGO, AXAF, XTE, Hipparcos, and digitized sky surveys.

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Daftar Isi

Statistics in Cosmology.- Bayesian Analysis Across Astronomy.- Data Mining and Astroinformatics.- Image and Time Series Analysis.- The Future of Astrostatistics.- Contributed Papers.

Tentang Penulis

Eric D. Feigelson, Professor of Astronomy & Astrophysics, and G. Jogesh Babu, Professor of Statistics, have long collaborated in cross-disciplinary research and services.  Under the auspices of Penn State’s Center for Astrostatistics, they run the SCMA conferences, offer summer schools in statistics for astronomers, produce texts and research articles promoting advances in statistical methodology in astronomy.  Feigelson also conducts research in X-ray astronomy and star formation, and Babu is a mathematical statistician with interest in bootstrap methods, nonparametrics and asymptotic theory.  
 

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Bahasa Inggris ● Format PDF ● Halaman 559 ● ISBN 9781461435204 ● Ukuran file 12.0 MB ● Editor Eric D. Feigelson & Jogesh Babu ● Penerbit Springer New York ● Kota NY ● Negara US ● Diterbitkan 2012 ● Diunduh 24 bulan ● Mata uang EUR ● ID 4721955 ● Perlindungan salinan DRM sosial

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