LEADER 04568nam 22006975 450 001 9910300245903321 005 20200705112335.0 010 $a3-319-17704-4 024 7 $a10.1007/978-3-319-17704-5 035 $a(CKB)3710000000541892 035 $a(SSID)ssj0001599544 035 $a(PQKBManifestationID)16305886 035 $a(PQKBTitleCode)TC0001599544 035 $a(PQKBWorkID)14892240 035 $a(PQKB)11290495 035 $a(DE-He213)978-3-319-17704-5 035 $a(MiAaPQ)EBC6311784 035 $a(MiAaPQ)EBC5578395 035 $a(Au-PeEL)EBL5578395 035 $a(OCoLC)933730336 035 $a(PPN)190879890 035 $a(EXLCZ)993710000000541892 100 $a20151224d2015 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aIntroduction to Statistics $eUsing Interactive MM*Stat Elements /$fby Wolfgang Karl Härdle, Sigbert Klinke, Bernd Rönz 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XX, 516 p. 205 illus., 173 illus. in color.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-17703-6 327 $aBasics -- One-Dimensional Frequency Distributions.-  Probability Theory -- Combinatorics -- Random Variables -- Probability Distributions.-  Sampling Theory.-  Estimation.-  Statistical Tests.-  Two-dimensional Frequency Distribution.-  Regression.-  Time Series Analysis. 330 $aMM*Stat, together with its enhanced online version with interactive examples, offers a flexible tool that facilitates the teaching of basic statistics. It covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability theory, random sampling and estimation theory), and inferential statistics itself (confidence intervals, testing). MM*Stat is also designed to help students rework class material independently and to promote comprehension with the help of additional examples. Each chapter starts with the necessary theoretical background, which is followed by a variety of examples. The core examples are based on the content of the respective chapter, while the advanced examples, designed to deepen students? knowledge, also draw on information and material from previous chapters. The enhanced online version helps students grasp the complexity and t he practical relevance of statistical analysis through interactive examples and is suitable for undergraduate and graduate students taking their first statistics courses, as well as for undergraduate students in non-mathematical fields, e.g. economics, the social sciences etc. All R codes and data sets may be downloaded via the quantlet download center. . 606 $aStatistics 606 $aMathematical statistics 606 $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010 606 $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 606 $aStatistics for Life Sciences, Medicine, Health Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17030 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 615 0$aStatistics. 615 0$aMathematical statistics. 615 14$aStatistics for Business, Management, Economics, Finance, Insurance. 615 24$aStatistics for Social Sciences, Humanities, Law. 615 24$aProbability and Statistics in Computer Science. 615 24$aStatistics for Life Sciences, Medicine, Health Sciences. 615 24$aStatistics and Computing/Statistics Programs. 676 $a519.5 700 $aHärdle$b Wolfgang Karl$4aut$4http://id.loc.gov/vocabulary/relators/aut$0732741 702 $aKlinke$b Sigbert$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aRönz$b Bernd$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300245903321 996 $aIntroduction to Statistics$92527086 997 $aUNINA