Statistical Challenges in Modern Astronomy II

Statistical Challenges in Modern Astronomy II
Author :
Publisher : Springer Science & Business Media
Total Pages : 463
Release :
ISBN-10 : 9781461219682
ISBN-13 : 146121968X
Rating : 4/5 (68X Downloads)

Book Synopsis Statistical Challenges in Modern Astronomy II by : G. Jogesh Babu

Download or read book Statistical Challenges in Modern Astronomy II written by G. Jogesh Babu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 II conference, held in June 1996 at the Pennsylvania State University five years after the first conference, brought 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 were important themes. Astronomers frequently encounter troublesome situations such as heteroscedastic weighting of data, unevenly spaced time series, and selection effects leading to censoring and truncation. Many problems were introduced at the conference in the context of large-scale astronomical projects inlcuding LIGO, AXAF, XTE, Hipparcos, and digitized sky surveys.This volume will be of interest to researchers and advanced students in both fields-astronomers who seek exposure to recent developments in statistics, and statisticians interested in confronting new problems. It is edited by two faculty members of the Pennsylvania State University who have a long-standing cross-disciplinary collaboration and jointly authored the recent introductory monograph "Astrostatics." G.J. Babu is Professor of Statistics, Fellow of the Institute of Mathematical Statistics, and Associate Editor of the Journal of Statistical Planning & Inference and the Journal of Nonparametric Statistics. Eric D. Feigelson is Professor of Astronomoy and Astrophysics.


Statistical Challenges in Modern Astronomy II Related Books

Statistical Challenges in Modern Astronomy II
Language: en
Pages: 463
Authors: G. Jogesh Babu
Categories: Science
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

GET EBOOK

Modern astronomical research faces a vast range of statistical issues which have spawned a revival in methodological activity among astronomers. The Statistical
Statistical Challenges in Modern Astronomy
Language: en
Pages: 528
Authors: Eric D. Feigelson
Categories: Science
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

GET EBOOK

Modern astronomy has been characterized by an enormous growth in data acquisition - from new technologies in telescopes, detectors, and computation. One can now
Statistical Challenges in Astronomy
Language: en
Pages: 512
Authors: Eric D. Feigelson
Categories: Science
Type: BOOK - Published: 2006-05-26 - Publisher: Springer Science & Business Media

GET EBOOK

Digital sky surveys, high-precision astrometry from satellite data, deep-space data from orbiting telescopes, and the like have all increased the quantity and q
Statistical Challenges in Modern Astronomy V
Language: en
Pages: 544
Authors: Eric D. Feigelson
Categories: Mathematics
Type: BOOK - Published: 2012-08-15 - Publisher: Springer Science & Business Media

GET EBOOK

This volume contains a selection of chapters based on papers to be presented at the Fifth Statistical Challenges in Modern Astronomy Symposium. The symposium wi
New Horizons from Multi-Wavelength Sky Surveys
Language: en
Pages: 508
Authors: Brian J. McLean
Categories: Science
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

GET EBOOK

Large area sky surveys are now a reality in the radio, IR, optical and X-ray passbands. In the next few years, new surveys using optical, UV and IR mosaic camer