Statistics for Decision Making and Competitive Advantage.- Describing Your Data Chapter.- Hypothesis Tests, Confidence Intervals, and Simulation to Infer Population Characteristics and Differences.- Quantifying the Influence of Performance Drivers and Forecasting: Regression.- Market Simulation and Segmentation with Descriptive Statistics, Inference, Hypothesis Tests, and Regression.- Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression.- Association between Two Categorical Variables: Contingency Analysis with Chi Square.- Building Multiple Regression Models.- Model Building and Forecasting with Multicollinear Time Series.- Indicator Variables.- Nonlinear Multiple Regression Models.- Indicator Interactions for Segment Differences or Changes in Response.- Logit Regression for Bounded Responses.- Index.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.