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Online Public Access Catalogue

Business analytics : data analysis and decision making / S. Christian Albright, Wayne L. Winston.

By: Albright, S. ChristianContributor(s): Winston, Wayne LMaterial type: TextTextLanguage: English Publisher: Delhi: Cengage, 2020Edition: 7th edDescription: xxiii, 882 pages; illu; 27 cmISBN: 9789355734198Subject(s): Business planning | Strategic planningDDC classification: 658.4033
Contents:
1. Introduction to Business Analytics. Part 1: DATA ANALYSIS. 2. Describing the Distribution of a Variable. 3. Finding Relationships among Variables. 4. Business Intelligence (BI) Tools for Data Analysis Part 2: PROBABILITY AND DECISION MAKING UNDER UNCERTAINTY. 5. Probability and Probability Distributions. 6. Decision Making under Uncertainty. Part 3: STATISTICAL INFERENCE. 7. Sampling and Sampling Distributions. 8. Confidence Interval Estimation. 9. Hypothesis Testing. Part 4: REGRESSION ANALYSIS AND TIME SERIES FORECASTING. 10. Regression Analysis: Estimating Relationships. 11. Regression Analysis: Statistical Inference. 12. Time Series Analysis and Forecasting. Part 5: OPTIMIZATION AND SIMULATION MODELING. 13. Introduction to Optimization Modeling. 14. Optimization Models. 15. Introduction to Simulation Modeling. 16. Simulation Models. Part 6: ADVANCED DATA ANALYSIS. 17. Data Mining. Part 7: BONUS ONLINE MATERIAL. 18. Analysis of Variance and Experimental Design. 19. Statistical Process Control. Appendix A: Statistical Reporting
List(s) this item appears in: New Arrivals - May 1st to 31st 2024
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Includes bibliographical references and index.

1. Introduction to Business Analytics. Part 1: DATA ANALYSIS. 2. Describing the Distribution of a Variable. 3. Finding Relationships among Variables. 4. Business Intelligence (BI) Tools for Data Analysis Part 2: PROBABILITY AND DECISION MAKING UNDER UNCERTAINTY. 5. Probability and Probability Distributions. 6. Decision Making under Uncertainty. Part 3: STATISTICAL INFERENCE. 7. Sampling and Sampling Distributions. 8. Confidence Interval Estimation. 9. Hypothesis Testing. Part 4: REGRESSION ANALYSIS AND TIME SERIES FORECASTING. 10. Regression Analysis: Estimating Relationships. 11. Regression Analysis: Statistical Inference. 12. Time Series Analysis and Forecasting. Part 5: OPTIMIZATION AND SIMULATION MODELING. 13. Introduction to Optimization Modeling. 14. Optimization Models. 15. Introduction to Simulation Modeling. 16. Simulation Models. Part 6: ADVANCED DATA ANALYSIS. 17. Data Mining. Part 7: BONUS ONLINE MATERIAL. 18. Analysis of Variance and Experimental Design. 19. Statistical Process Control. Appendix A: Statistical Reporting

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