Predictive analytics for business strategy : reasoning from data to actionable knowledge / Jeff T. Prince, Professor of Business Economics & Public Policy, Harold A. Poling Chair in Strategic Management, Kelley School of Business, Indiana University.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- unmediated
- volume
- 1260084647
- 9781260084641
- 658.4012 PRI 22
Item type | Current library | Collection | Call number | Vol info | Status | Date due | Barcode | Item holds |
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Central Library First floor | Alahram | 658.4012 PRI (Browse shelf(Opens below)) | 488 | Available | 000048627 |
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658.4012 PEL Directing the ERP implementation : | 658.4012 PER Perspectives on strategy : | 658.4012 PRA Strategic management : text and cases / | 658.4012 PRI Predictive analytics for business strategy : reasoning from data to actionable knowledge / | 658.4012 ROB Strategy pure and simple II : | 658.4012 ROT Strategic management : concepts and cases / | 658.4012 SAM Patterns of Excellence : |
Includes index.
Includes glossary.
Chapter 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.
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