Business statistics for competitive advantage with Excel 2013 : basics, model building, simulation and sases
Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics to provide information on performance response under alternative scenarios. Th...
Đã lưu trong:
| Tác giả chính: | |
|---|---|
| Định dạng: | Livre numérique |
| Ngôn ngữ: | Anglais |
| Được phát hành: |
New York, NY :
Springer New York
2013.
Cham : Springer Nature |
| Truy cập trực tuyến: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Chú thích: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Business Statistics for Competitive Advantage with Excel 2013, Basics, Model Building, Simulation and Cases, Cynthia Fraser., 3rd edition, New York, Springer Science+Business Media, 2013, 1 vol. (XIV; 450 p), 978-1-4614-7380-0 • Business Statistics for Competitive Advantage with Excel 2013, Texte imprimé, 9781461473824 |
Mục lục:
- 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.