000			01858cam a22003615i 4500
999			_c28083 _d28054
001			ocn1039326925
003			EG-ScBUE
005			20200213153811.0
008			180611t20192019nyua f d 001 0 eng d
020			_a1260084647
020			_a9781260084641
035			_a(OCoLC)ocn1039326925
035			_a(OCoLC)1039326925
040			_aYDX _beng _erda _cYDX _dOCLCQ _dEG-ScBUE
082	0	4	_a658.4012 _bPRI _222
100	1		_aPrince, Jeff, _eauthor.
245	1	0	_aPredictive 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.
250			_aInternational student edition.
264		1	_aNew York : _bMcGraw-Hill Education, _c[2019]
264		4	_cc2019
300			_axviii, 348 pages : _billustrations ; _c24 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aMcGraw-Hill series economics
500			_aIncludes index.
500			_aIncludes glossary.
505	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.
650		7	_aQuantitative research. _2BUEsh
650		7	_aBusiness planning _xStudy and teaching. _2BUEsh
942			_2ddc _cBB