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:
TextSeries: McGraw-Hill series economicsPublisher: New York : McGraw-Hill Education, [2019]Copyright date: c2019Edition: International student editionDescription: xviii, 348 pages : illustrations ; 24 cmContent type: - text
- unmediated
- volume
- 1260084647
- 9781260084641
- 658.4012 PRI 22
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Book - Borrowing
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Central Library First floor | Alahram | 658.4012 PRI (Browse shelf(Opens below)) | 488 | Available | 000048627 |
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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