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Statistical Challenges in Modern Astronomy II (Hardcover, 1997 ed.)
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Statistical Challenges in Modern Astronomy II (Hardcover, 1997 ed.)
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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.
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