LEADER 04940nam 22006735 450 001 9910299995103321 005 20200630152246.0 010 $a1-4939-1507-X 024 7 $a10.1007/978-1-4939-1507-1 035 $a(CKB)3710000000250878 035 $a(EBL)1967685 035 $a(OCoLC)892734877 035 $a(SSID)ssj0001372800 035 $a(PQKBManifestationID)11895570 035 $a(PQKBTitleCode)TC0001372800 035 $a(PQKBWorkID)11304645 035 $a(PQKB)10245722 035 $a(DE-He213)978-1-4939-1507-1 035 $a(MiAaPQ)EBC1967685 035 $a(PPN)182096173 035 $a(EXLCZ)993710000000250878 100 $a20141001d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical Methods for Astronomical Data Analysis /$fby Asis Kumar Chattopadhyay, Tanuka Chattopadhyay 205 $a1st ed. 2014. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2014. 215 $a1 online resource (356 p.) 225 1 $aSpringer Series in Astrostatistics,$x2199-1030 ;$v3 300 $aDescription based upon print version of record. 311 $a1-4939-1506-1 327 $aIntroduction to Astrophysics -- Introduction to Statistics -- Sources of Astronomical Data -- Statistical Inference -- Advanced Regression and its Application with Measurement Error -- Missing Observations and Imputation -- Dimension Reduction and Clustering -- Clustering, Classification and Data Mining -- Time Series Analysis -- Monte Carlo Simulation -- Uses of Softwares -- Appendix.  . 330 $aThis book introduces ?Astrostatistics? as a subject in its own right with rewarding examples, including work by the authors with galaxy and Gamma Ray Burst data to engage the reader. This includes a comprehensive blending of Astrophysics and Statistics. The first chapter?s coverage of preliminary concepts and terminologies for astronomical phenomenon will appeal to both Statistics and Astrophysics readers as helpful context. Statistics concepts covered in the book provide a methodological framework. A unique feature is the inclusion of different possible sources of astronomical data, as well as software packages for converting the raw data into appropriate forms for data analysis. Readers can then use the appropriate statistical packages for their particular data analysis needs. The ideas of statistical inference discussed in the book help readers determine how to apply statistical tests. The authors cover different applications of statistical techniques already developed or specifically introduced for astronomical problems, including regression techniques, along with their usefulness for data set problems related to size and dimension. Analysis of missing data is an important part of the book because of its significance for work with astronomical data. Both existing and new techniques related to dimension reduction and clustering are illustrated through examples. There is detailed coverage of applications useful for classification, discrimination, data mining and time series analysis. Later chapters explain simulation techniques useful for the development of physical models where it is difficult or impossible to collect data. Finally, coverage of the many R programs for techniques discussed makes this book a fantastic practical reference. Readers may apply what they learn directly to their data sets in addition to the data sets included by the authors. 410 0$aSpringer Series in Astrostatistics,$x2199-1030 ;$v3 606 $aStatistics  606 $aAstrophysics 606 $aAstronomy 606 $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020 606 $aAstrophysics and Astroparticles$3https://scigraph.springernature.com/ontologies/product-market-codes/P22022 606 $aAstronomy, Astrophysics and Cosmology$3https://scigraph.springernature.com/ontologies/product-market-codes/P22006 606 $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001 615 0$aStatistics . 615 0$aAstrophysics. 615 0$aAstronomy. 615 14$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aAstrophysics and Astroparticles. 615 24$aAstronomy, Astrophysics and Cosmology. 615 24$aStatistical Theory and Methods. 676 $a520.72 676 $a520.727 700 $aChattopadhyay$b Asis Kumar$4aut$4http://id.loc.gov/vocabulary/relators/aut$0722031 702 $aChattopadhyay$b Tanuka$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299995103321 996 $aStatistical Methods for Astronomical Data Analysis$92535772 997 $aUNINA