000			01417nam a2200277 i 4500
003			CSPC
005			20230808143334.0
008			230808b2021 nyu 001 0 eng d
020			_a9781260084641 _q(paperback)
040			_aDLC _beng _cDLC _dCSPC _erda
082			_a658.4012 _bP935
100			_aPrince, Jeffrey T., _eauthor.
245			_aPredictive analytics for business strategy : _breasoning from data to actionable knowledge / _cJeffrey T. Prince.
260			_aNew York, NY : _bMcGraw-Hill Education, _c2021.
300			_axviii, 348 pages : _c24 cm.
336			_2text _atxt _brdacontent
337			_2unmediated _an _brdamedia
338			_2volume _anc _brdacarrier
500			_aIncludes index.
505	0		_aThe roles of data and predictive analytics in business -- Reasoning with data -- Reasoning from sample to population -- The scientific method : the gold standard for establishing causality -- Linear regression as a fundamental descriptive tool -- Correlation vs. causality in regression analysis -- Basic methods for establishing causal inference -- Advanced methods for establishing causal inference -- Prediction for a dichotomous variable -- Identification and data assessment.
650		0	_aIndustrial management.
650		0	_aStatistical methods.
650		0	_aDecision making.
942			_2ddc _cBK _h658.4012 _iP935 _kCIR _m2021 _n0
999			_c25860 _d25860