01854nam a2200265Ia 450000500170000000800470001724500910006410000520015570000510020726000380025825000490029630000360034530000100038150000190039102000180041065000430042865000400047165000470051105000230055854600150058150509570059633600090155333700150156233800110157720260803094235.0251212s2023    xx            000 0 und d©©©1 aBusiness analytics : bcommunicating with numbers /cSanjiv Jaggia [and three others].  aBusiness analytics : communicating with numbers  aKelly, Alison; Lertwachara, Kevin; Chen, Leida  aNew York :bMcGraw Hill,c©2023.  aSecond edition, International student editon  axxv, 774 pages: bIllustrations  c28 cm  aIncludes index  a9781265087685  aBusiness planningxStatistical methods  aDecision making Statistical methods  aIndustrial managementxStatistical methods  a658.4033 C42b 2023  ain English  aCHAPTER 1: Introduction to Business AnalyticsCHAPTER 2: Data Management and WranglingCHAPTER 3: Summary MeasuresCHAPTER 4: Data VisualizationCHAPTER 5: Probability and Probability DistributionsCHAPTER 6: Statistical InferenceCHAPTER 7: Regression AnalysisCHAPTER 8: Introduction to Data MiningCHAPTER 9: More Topics in Regression AnalysisCHAPTER 10: Logistic Regression ModelsCHAPTER 11: Supervised Data Mining: kNN and Naive BayesCHAPTER 12: Supervised Data Mining: Decision TreesCHAPTER 13: Unsupervised Data MiningCHAPTER 14: Forecasting with Time Series DataCHAPTER 15: Spreadsheet ModellingCHAPTER 16: Risk and SimulationCHAPTER 17: Optimization: Linear ProgrammingCHAPTER 18: Optimization: Integer and Nonlinear ProgrammingAPPENDIX A Big Data Sets: Variable Description and Data DictionaryAPPENDIX B Getting Started with Excel and Excel Add-InsAPPENDIX C Getting Started with RAPPENDIX D Statistical TablesAPPENDIX E Answers to Selected Exercises  atext  aunmediated  avolume