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coming summer 2010 from McGraw-Hill/Irwin Word Clouds created at Wordle.net, using the Dec. 2009 draft manuscript
Brief Contents    Introduction  1. Studying Decision & Information Analysis Unit I – Analyzing Decisions 2. Getting Started with Decision Analysis: Developing an Analytical Strategy 3. Finding the Best Path: Decisions without Uncertainties 4. Comparing Forked Paths: Decisions with Uncertainties    Unit II – Working with Risk & Uncertainty 5. Getting Started with Probability: Modeling Uncertainty & Imperfect Information 6. Working with Random Variables: Uncertainties about Numbers 7. Working with Common Families of Probability Distributions    Unit III – Developing Quantitative Facts 8. Getting Started with Data Analysis: Acquiring, Building & Cleaning 9. Exploring Data: Describing & Summarizing 10. Exploring Multivariate Data: Making Sense of Association   Unit IV – Interpreting Sample Data 11. Connecting Populations & Samples 12. Making Interval Estimates: Specific Statements about Unknown Populations 13. Evaluating the Strength of Evidence: Hypothesis Testing 14. Making Other Inferences from Sample Data: Variance, Independence & 2-Sample Comparisons 15. Simulating Uncertainties: Samples of Outcomes    Unit V – Estimating & Predicting 16. Making Predictions – and Improving them using Regression 17. Using Multiple Variables in Predictive Regressions 18. Building Predictive & Causal Regression Models 19. Drawing Conclusions & Making Predictions from Time Series& Ordered Data
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 8
Chapter 9
Chapter 10
Chapter 11
Chapter 12
Chapter 13
Chapter 14
Chapter 15
Chapter 16
Chapter 17
Chapter 18
Chapter 19

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Word Clouds for DIA text

  • 1. coming summer 2010 from McGraw-Hill/Irwin Word Clouds created at Wordle.net, using the Dec. 2009 draft manuscript
  • 2. Brief Contents    Introduction  1. Studying Decision & Information Analysis Unit I – Analyzing Decisions 2. Getting Started with Decision Analysis: Developing an Analytical Strategy 3. Finding the Best Path: Decisions without Uncertainties 4. Comparing Forked Paths: Decisions with Uncertainties    Unit II – Working with Risk & Uncertainty 5. Getting Started with Probability: Modeling Uncertainty & Imperfect Information 6. Working with Random Variables: Uncertainties about Numbers 7. Working with Common Families of Probability Distributions    Unit III – Developing Quantitative Facts 8. Getting Started with Data Analysis: Acquiring, Building & Cleaning 9. Exploring Data: Describing & Summarizing 10. Exploring Multivariate Data: Making Sense of Association   Unit IV – Interpreting Sample Data 11. Connecting Populations & Samples 12. Making Interval Estimates: Specific Statements about Unknown Populations 13. Evaluating the Strength of Evidence: Hypothesis Testing 14. Making Other Inferences from Sample Data: Variance, Independence & 2-Sample Comparisons 15. Simulating Uncertainties: Samples of Outcomes    Unit V – Estimating & Predicting 16. Making Predictions – and Improving them using Regression 17. Using Multiple Variables in Predictive Regressions 18. Building Predictive & Causal Regression Models 19. Drawing Conclusions & Making Predictions from Time Series& Ordered Data