LEADER 04574nam 22007455 450 001 9910254309603321 005 20230810191356.0 010 $a3-319-55336-4 024 7 $a10.1007/978-3-319-55336-8 035 $a(CKB)4100000000586874 035 $a(DE-He213)978-3-319-55336-8 035 $a(MiAaPQ)EBC6315522 035 $a(MiAaPQ)EBC5592175 035 $a(Au-PeEL)EBL5592175 035 $a(OCoLC)1005664271 035 $a(PPN)204534232 035 $a(EXLCZ)994100000000586874 100 $a20170929d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBasic Elements of Computational Statistics /$fby Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XXI, 305 p. 97 illus., 66 illus. in color.) 225 1 $aStatistics and Computing,$x2197-1706 311 $a3-319-55335-6 327 $aThe Basics of R -- Numerical Techniques -- Combinatorics and Discrete Distributions -- Univariate Distributions -- Univariate Statistical Analysis -- Basic Nonparametric Methods -- Multivariate Distributions -- Multivariate Statistical Analysis -- Random Numbers in R -- Advanced Graphical Techniques in R -- Symbols and Notations. 330 $aThis textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R. It covers mathematical, statistical as well as programming problems in computational statistics and contains a wide variety of practical examples. In addition to the numerous R sniplets presented in the text, all computer programs (quantlets) and data sets to the book are available on GitHub and referred to in the book. This enables the reader to fully reproduce as well as modify and adjust all examples to their needs. The book is intended for advanced undergraduate and first-year graduate students as well as for data analysts new to the job who would like a tour of the various statistical tools in a data analysis workshop. The experienced reader with a good knowledge of statistics and programming might skip some sections on univariate models and enjoy the various mathematical roots of multivariate techniques. The Quantlet platform quantlet.de, quantlet.com, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allows readers to reproduce the tables, pictures and calculations inside this Springer book. 410 0$aStatistics and Computing,$x2197-1706 606 $aMathematical statistics$xData processing 606 $aStatistics 606 $aComputer science$xMathematics 606 $aMathematical statistics 606 $aBiometry 606 $aStatistics and Computing 606 $aStatistical Theory and Methods 606 $aProbability and Statistics in Computer Science 606 $aBiostatistics 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 615 0$aMathematical statistics$xData processing. 615 0$aStatistics. 615 0$aComputer science$xMathematics. 615 0$aMathematical statistics. 615 0$aBiometry. 615 14$aStatistics and Computing. 615 24$aStatistical Theory and Methods. 615 24$aProbability and Statistics in Computer Science. 615 24$aBiostatistics. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 676 $a519.50285 700 $aHärdle$b Wolfgang Karl$4aut$4http://id.loc.gov/vocabulary/relators/aut$0732741 702 $aOkhrin$b Ostap$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aOkhrin$b Yarema$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254309603321 996 $aBasic Elements of Computational Statistics$92283984 997 $aUNINA