01992cam a22003615i 4500999001700000001001400017003000900031005001700040008004100057020001500098020001800113035002500131035002200156040004000178082002200218100002700240245025700267250003500524264004700559264001000606300004800616336002600664337002800690338002700718490003300745500002000778500002300798505055900821650003401380650005001414942001201464952015401476  c28083d28054ocn1039326925EG-ScBUE20200213153811.0180611t20192019nyua   f d    001 0 eng d  a1260084647  a9781260084641  a(OCoLC)ocn1039326925  a(OCoLC)1039326925  aYDXbengerdacYDXdOCLCQdEG-ScBUE04a658.4012bPRI2221 aPrince, Jeff,eauthor.10aPredictive analytics for business strategy :breasoning from data to actionable knowledge /cJeff T. Prince, Professor of Business Economics & Public Policy, Harold A. Poling Chair in Strategic Management, Kelley School of Business, Indiana University.  aInternational student edition. 1aNew York :bMcGraw-Hill Education,c[2019] 4cc2019  axviii, 348 pages :billustrations ;c24 cm.  atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier0 aMcGraw-Hill series economics  aIncludes index.  aIncludes glossary.0 aChapter 1: The Roles of Data and Predictive Analytics in BusinessChapter 2: Reasoning with DataChapter 3: Reasoning from Sample to PopulationChapter 4: The Scientific Method: The Gold Standard for Establishing CausalityChapter 5: Linear Regression as a Fundamental Descriptive ToolChapter 6: Correlation vs. Causality in Regression AnalysisChapter 7: Basic Methods for Establishing Causal InferenceChapter 8: Advances Methods for Establishing Causal InferenceChapter 9: Prediction for a Dichotomous VariableChapter 10: Identification and Data Assessment. 7aQuantitative research.2BUEsh 7aBusiness planningxStudy and teaching.2BUEsh  2ddccBB  00102ddc40708AlahramaMAINbMAINc1STd2020-02-13ePurchaseg739.00h488l0o658.4012 PRIp000048627r2025-07-15 00:00:00v923.75w2020-02-13yBB