LEADER 03450nam 22006735 450 001 9910502667003321 005 20250410122109.0 010 $a3-030-69827-0 024 7 $a10.1007/978-3-030-69827-0 035 $a(CKB)4100000012038149 035 $a(MiAaPQ)EBC6738623 035 $a(Au-PeEL)EBL6738623 035 $a(OCoLC)1272957381 035 $a(PPN)258052341 035 $a(DE-He213)978-3-030-69827-0 035 $a(EXLCZ)994100000012038149 100 $a20210930d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistical Foundations, Reasoning and Inference $eFor Science and Data Science /$fby Göran Kauermann, Helmut Küchenhoff, Christian Heumann 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (361 pages) 225 1 $aSpringer Series in Statistics,$x2197-568X 311 08$a3-030-69826-2 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Background in Probability -- Parametric Statistical Models -- Maximum Likelihood Inference -- Bayesian Statistics -- Statistical Decisions -- Regression -- Bootstrapping -- Model Selection and Model Averaging -- Multivariate and Extreme Value Distributions -- Missing and Deficient Data -- Experiments and Causality. 330 $aThis textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of uncertainty. Moreover, the book addresses statistical ideas that are useful in modern data analytics, including bootstrapping, modeling of multivariate distributions, missing data analysis, causality as well as principles of experimental design. The textbook includes sufficient material for a two-semester course and is intended for master?s students in data science, statistics and computer science with a rudimentary grasp of probability theory. It will also be useful for data science practitioners who want to strengthen their statistics skills. 410 0$aSpringer Series in Statistics,$x2197-568X 606 $aStatistics 606 $aArtificial intelligence$xData processing 606 $aData mining 606 $aStatistics 606 $aStatistical Theory and Methods 606 $aData Science 606 $aData Mining and Knowledge Discovery 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 615 0$aStatistics. 615 0$aArtificial intelligence$xData processing. 615 0$aData mining. 615 0$aStatistics. 615 14$aStatistical Theory and Methods. 615 24$aData Science. 615 24$aData Mining and Knowledge Discovery. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 676 $a519.5 700 $aKauermann$b Go?ran$0846427 702 $aKu?chenhoff$b Helmut 702 $aHeumann$b Christian$f1962- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910502667003321 996 $aStatistical foundations, reasoning and inference$92886982 997 $aUNINA