LEADER 03924nam 22007812 450 001 9910792099003321 005 20151005020624.0 010 $a1-107-22447-0 010 $a1-107-38544-X 010 $a1-139-37652-7 010 $a1-139-37938-0 010 $a1-139-37509-1 010 $a1-139-37795-7 010 $a1-139-37110-X 010 $a1-280-87895-9 010 $a9786613720269 010 $a1-139-03199-6 035 $a(CKB)2560000000091891 035 $a(EBL)880633 035 $a(OCoLC)797919772 035 $a(SSID)ssj0000877977 035 $a(PQKBManifestationID)11446588 035 $a(PQKBTitleCode)TC0000877977 035 $a(PQKBWorkID)10812327 035 $a(PQKB)10691683 035 $a(SSID)ssj0000678788 035 $a(PQKBManifestationID)11405298 035 $a(PQKBTitleCode)TC0000678788 035 $a(PQKBWorkID)10745542 035 $a(PQKB)11571519 035 $a(UkCbUP)CR9781139031998 035 $a(Au-PeEL)EBL880633 035 $a(CaPaEBR)ebr10574280 035 $a(CaONFJC)MIL372026 035 $a(OCoLC)801406073 035 $a(MiAaPQ)EBC880633 035 $a(PPN)248671642 035 $a(EXLCZ)992560000000091891 100 $a20110223d2012|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPractical statistics for astronomers /$fJ. V. Wall, C. R. Jenkins$b[electronic resource] 205 $aSecond edition. 210 1$aCambridge :$cCambridge University Press,$d2012. 215 $a1 online resource (xix, 353 pages) $cdigital, PDF file(s) 225 1 $aCambridge observing handbooks for research astronomers ;$v8 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a0-521-73249-2 311 $a0-521-51968-3 320 $aIncludes bibliographical references and index. 327 $aMachine generated contents note: 1. Decision; 2. Probability; 3. Statistics and expectations; 4. Correlation and association; 5. Hypothesis-testing; 6. Data modelling and parameter-estimation: basics; 7. Data modelling and parameter-estimation: advanced topics; 8. Detection and surveys; 9. Sequential data - 1D statistics; 10. Statistics of large-scale structure; 11. Epilogue: statistics and our Universe; Appendices; References; Index. 330 $aAstronomy needs statistical methods to interpret data, but statistics is a many-faceted subject that is difficult for non-specialists to access. This handbook helps astronomers analyze the complex data and models of modern astronomy. This second edition has been revised to feature many more examples using Monte Carlo simulations, and now also includes Bayesian inference, Bayes factors and Markov chain Monte Carlo integration. Chapters cover basic probability, correlation analysis, hypothesis testing, Bayesian modelling, time series analysis, luminosity functions and clustering. Exercises at the end of each chapter guide readers through the techniques and tests necessary for most observational investigations. The data tables, solutions to problems, and other resources are available online at www.cambridge.org/9780521732499. Bringing together the most relevant statistical and probabilistic techniques for use in observational astronomy, this handbook is a practical manual for advanced undergraduate and graduate students and professional astronomers. 410 0$aCambridge observing handbooks for research astronomers ;$v8. 606 $aStatistical astronomy 615 0$aStatistical astronomy. 676 $a519.5024/52 686 $aSCI004000$2bisacsh 700 $aWall$b J. V.$01470494 702 $aJenkins$b C. R.$f1955- 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910792099003321 996 $aPractical statistics for astronomers$93682414 997 $aUNINA