04568nam 22006975 450 991030024590332120200705112335.03-319-17704-410.1007/978-3-319-17704-5(CKB)3710000000541892(SSID)ssj0001599544(PQKBManifestationID)16305886(PQKBTitleCode)TC0001599544(PQKBWorkID)14892240(PQKB)11290495(DE-He213)978-3-319-17704-5(MiAaPQ)EBC6311784(MiAaPQ)EBC5578395(Au-PeEL)EBL5578395(OCoLC)933730336(PPN)190879890(EXLCZ)99371000000054189220151224d2015 u| 0engurnn#008mamaatxtccrIntroduction to Statistics Using Interactive MM*Stat Elements /by Wolfgang Karl Härdle, Sigbert Klinke, Bernd Rönz1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (XX, 516 p. 205 illus., 173 illus. in color.)Bibliographic Level Mode of Issuance: Monograph3-319-17703-6 Basics -- One-Dimensional Frequency Distributions.-  Probability Theory -- Combinatorics -- Random Variables -- Probability Distributions.-  Sampling Theory.-  Estimation.-  Statistical Tests.-  Two-dimensional Frequency Distribution.-  Regression.-  Time Series Analysis.MM*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. .StatisticsMathematical statisticsStatistics for Business, Management, Economics, Finance, Insurancehttps://scigraph.springernature.com/ontologies/product-market-codes/S17010Statistics for Social Sciences, Humanities, Lawhttps://scigraph.springernature.com/ontologies/product-market-codes/S17040Probability and Statistics in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17036Statistics for Life Sciences, Medicine, Health Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17030Statistics and Computing/Statistics Programshttps://scigraph.springernature.com/ontologies/product-market-codes/S12008Statistics.Mathematical statistics.Statistics for Business, Management, Economics, Finance, Insurance.Statistics for Social Sciences, Humanities, Law.Probability and Statistics in Computer Science.Statistics for Life Sciences, Medicine, Health Sciences.Statistics and Computing/Statistics Programs.519.5Härdle Wolfgang Karlauthttp://id.loc.gov/vocabulary/relators/aut732741Klinke Sigbertauthttp://id.loc.gov/vocabulary/relators/autRönz Berndauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910300245903321Introduction to Statistics2527086UNINA