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2015, ISBN: 9781461435198
[ED: Taschenbuch], [PU: Springer New York], Neuware - Now beginning its third decade, the Statistical Challenges in Modern Astronomy (SCMA) conferences are the premier forums where astron… More...
2012, ISBN: 1461435196
[EAN: 9781461435198], Neubuch, [SC: 0.0], [PU: Springer New York], BIOSTATISTIK; STATISTIK / STATISTIK; DIGITIZEDSKYSURVEYS; POISSIONPROCESSES; STATISTICALASTRONOMY; WAVE-LETFORMS, Druck … More...
2015
ISBN: 9781461435198
[ED: Taschenbuch], [PU: Springer New York], Neuware - Now beginning its third decade, the Statistical Challenges in Modern Astronomy (SCMA) conferences are the premier forums where astron… More...
2012, ISBN: 1461435196
[EAN: 9781461435198], Gebraucht, guter Zustand, [SC: 0.0], [PU: Springer US], WAVE-LET FORMS,DIGITIZED SKY SURVEYS,POISSION PROCESSES,STATISTICAL ASTRONOMY,, Buchschnitt verkürzt - gepfle… More...
2012, ISBN: 9781461435198
2012 Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2012 11941831/12 Versandkostenfreie Lieferung Wave-let forms,Digitized sky surveys,Poission processes,Statistical as… More...
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Details of the book - Statistical Challenges in Modern Astronomy V
EAN (ISBN-13): 9781461435198
ISBN (ISBN-10): 1461435196
Hardcover
Paperback
Publishing year: 2011
Publisher: Springer-Verlag New York Inc.
559 Pages
Weight: 0,867 kg
Language: Englisch
Book in our database since 2007-02-14T00:11:44-05:00 (New York)
Detail page last modified on 2023-11-09T08:33:53-05:00 (New York)
ISBN/EAN: 9781461435198
ISBN - alternate spelling:
1-4614-3519-6, 978-1-4614-3519-8
Alternate spelling and related search-keywords:
Book author: feige, feigel, eric, feigelson
Book title: statistical challenges modern astronomy, book astronomy
Information from Publisher
Author: Eric D. Feigelson; Jogesh Babu
Title: Lecture Notes in Statistics; Lecture Notes in Statistics - Proceedings; Statistical Challenges in Modern Astronomy V
Publisher: Springer; Springer US
559 Pages
Publishing year: 2012-08-15
New York; NY; US
Printed / Made in
Language: English
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
POD
XXIII, 559 p. 131 illus., 78 illus. in color.
BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Digitized sky surveys; Poission processes; Statistical astronomy; Wave-let forms; Statistics; Biostatistics; EA
Statistics in Cosmology.- Bayesian Analysis Across Astronomy.- Data Mining and Astroinformatics.- Image and Time Series Analysis.- The Future of Astrostatistics.- Contributed Papers.
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.
Now beginning its third decade, the Statistical Challenges in Modern Astronomy (SCMA) conferences are the premier forums where astronomers and statisticians discuss advanced methodological issues arising in astronomical research. From cosmology to exoplanets, astronomers produce enormous datasets and encounter difficult modeling issues to arrive at astrophysical insights. At the SCMA V conference held at Penn State University in June 2011, researchers from around the world presented the latest astrostatistical methods. To promote cross-disciplinary perspectives, each lecture from an expert in one field is followed by a commentary from the other field.
A wide range of statistical developments are highlighted in the SCMA V conference. Some focus on problems arising in precision cosmology involving characteristics of the cosmic microwave background, galaxy clustering and gravitational lensing. Bayesian approaches are particularly important in this and other areas. Knowledge discovery from megadatasets brings methods of data mining into use. Image analysis and time series analysis are areas where astronomers perennially wrestle with sophisticated modeling problems. The proceedings ends with discussion of the future of astrostatistics.
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.
Covers wide range of advances in statistical astronomy Many new techniques in the areas of large data set star and planet mapping will be discussed, including time series and applications in SAS and R Documents a successful symposium on statistical astronomy Includes supplementary material: sn.pub/extras
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