Feigelson | Astrostatistics | Buch | 978-0-412-98391-7 | sack.de

Buch, Englisch, Band 3, 224 Seiten, Format (B × H): 162 mm x 241 mm, Gewicht: 435 g

Reihe: Chapman & Hall/CRC Interdisciplinary Statistics

Feigelson

Astrostatistics


1. Auflage 1996
ISBN: 978-0-412-98391-7
Verlag: Chapman and Hall/CRC

Buch, Englisch, Band 3, 224 Seiten, Format (B × H): 162 mm x 241 mm, Gewicht: 435 g

Reihe: Chapman & Hall/CRC Interdisciplinary Statistics

ISBN: 978-0-412-98391-7
Verlag: Chapman and Hall/CRC


Modern astronomers encounter a vast range of challenging statistical problems, yet few are familiar with the wealth of techniques developed by statisticians. Conversely, few statisticians deal with the compelling problems confronted in astronomy. Astrostatistics bridges this gap. Authored by a statistician-astronomer team, it provides professionals and advanced students in both fields with exposure to issues of mutual interest. In the first half of the book the authors introduce statisticians to stellar, galactic, and cosmological astronomy and discuss the complex character of astronomical data. For astronomers, they introduce the statistical principles of nonparametrics, multivariate analysis, time series analysis, density estimation, and resampling methods.The second half of the book is organized by statistical topic. Each chapter contains examples of problems encountered astronomical research and highlights methodological issues. The final chapter explores some controversial issues in astronomy that have a strong statistical component. The authors provide an extensive bibliography and references to software for implementing statistical methods.The "marriage" of astronomy and statistics is a natural one and benefits both disciplines. Astronomers need the tools and methods of statistics to interpret the vast amount of data they generate, and the issues related to astronomical data pose intriguing challenges for statisticians. Astrostatistics paves the way to improved statistical analysis of astronomical data and provides a common ground for future collaboration between the two fields.

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Zielgruppe


Statisticians interested in astronomy and astronomers involved in statistical methods


Autoren/Hrsg.


Weitere Infos & Material


INTRODUCTIONStatistics in Greek and Renaissance AstronomyCelestial Mechanics and the Rise of Mathematical StatisticsContemporary Links Between Astronomy and StatisticsStatistical Consulting and SoftwareOVERVIEW OF ASTRONOMYUnits, Nomenclature, Catalogs, and TelescopesStarsThe GalaxyExtragalactic Astronomy and CosmologyTHE CHARACTER OF ASTRONOMICAL DATATypes of Astronomical DataAstronomical Measurement ErrorsSummaryOVERVIEW OF STATISTICSExploratory Data AnalysisProbability DistributionsEstimationHypothesis TestingNonparametric TestsMultivariate AnalysisTime Series AnalysisSpatial StatisticsWaveletsDensity EstimationSampling DesignsRESAMPLING METHODSDescription of the Bootstrap MethodSome Simple ApplicationsEstimating the Sampling DistributionBootstrap Confidence IntervalsBootstrap for Regression ModelsSummarySPATIAL STATISTICSRecent Astronomical ProblemsSpatial Distribution of GalaxiesSources in Photon-Counting DetectorsGamma-Ray Burst DistributionsSummaryLINEAR REGRESSIONIntroductionRecent Examples from the Astronomical LiteratureUnweighted Least Squares LinesError-in-Variables ModelsSummaryMULTIVARIATE CLASSIFICATION AND ANALYSISSome Multivariate Problems in AstronomyApplications of Multivariate MethodsSome New MethodsMultivariate ClassificationMultivariate Statistical SoftwareSummaryTIME SERIES ANALYSISVariable Phenomena in AstronomyExamples of Astronomical Time SeriesPeriodicities in Irregularly-Space ObservationsComputer SoftwareSummaryCENSORING AND TRUNCATIONRecent Research ProblemsStatistics for Censored DataStatistical Methods for Truncated DataSoftwareSummarySOME ASTRONOMICAL CONTROVERSIESTifft's Quantized RedshiftsArp's Quasar AlignmentsSegal's Chronometric CosmologyGott's Longevity of CivilizationsREFERENCESINDEX


Babu\, Gutti Jogesh; Feigelson\, E.D.



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