000 | 01858cam a22003615i 4500 | ||
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999 |
_c28083 _d28054 |
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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 |