Business Analytics, Global Edition
Publisher: Pearson Education, Limited
Published: 1920
Language: eng
Number of pages: 704
ISBN-13: 9781292339061
Table of contents: title: Preface
pagenum: 17; title: About the Author
pagenum: 25; title: Credits
pagenum: 27; label: Part 1
title: Foundations of Business Analytics; label: Chapter 1
title: Introduction to Business Analytics
pagenum: 29; title: Learning Objectives
pagenum: 29; title: What Is Business Analytics?
pagenum: 31; title: Using Business Analytics
pagenum: 32; title: Impacts and Challenges
pagenum: 33; title: Evolution of Business Analytics
pagenum: 34; title: Analytic Foundations
pagenum: 34; title: Modern Business Analytics
pagenum: 35; title: Software Support and Spreadsheet Technology
pagenum: 37; title: Analytics in Practice: Social Media Analytics
pagenum: 38; title: Descriptive, Predictive, and Prescriptive Analytics
pagenum: 39; title: Analytics in Practice: Analytics in the Home Lending and Mortgage Industry
pagenum: 40; title: Data for Business Analytics
pagenum: 42; title: Big Data
pagenum: 44; title: Data Reliability and Validity
pagenum: 44; title: Models in Business Analytics
pagenum: 45; title: Descriptive Models
pagenum: 47; title: Predictive Models
pagenum: 49; title: Prescriptive Models
pagenum: 50; title: Model Assumptions
pagenum: 51; title: Uncertainty and Risk
pagenum: 53; title: Problem Solving with Analytics
pagenum: 54; title: Recognizing a Problem
pagenum: 54; title: Defining the Problem
pagenum: 54; title: Structuring the Problem
pagenum: 55; title: Analyzing the Problem
pagenum: 55; title: Interpreting Results and Making a Decision
pagenum: 55; title: Implementing the Solution
pagenum: 55; title: Analytics in Practice: Developing Effective Analytical Tools at Hewlett-Packard
pagenum: 56; title: Key Terms
pagenum: 57; title: Chapter 1 Technology Help
pagenum: 57; title: Problems and Exercises
pagenum: 57; title: Case: Performance Lawn Equipment
pagenum: 59; label: Appendix A1
title: Basic Excel Skills
pagenum: 61; title: Excel Formulas and Addressing
pagenum: 62; title: Copying Formulas
pagenum: 63; title: Useful Excel Tips
pagenum: 63; title: Excel Functions
pagenum: 64; title: Basic Excel Functions
pagenum: 64; title: Functions for Specific Applications
pagenum: 65; title: Insert Function
pagenum: 66; title: Date and Time Functions
pagenum: 67; title: Miscellaneous Excel Functions and Tools
pagenum: 68; title: Range Names
pagenum: 68; title: VALUE Function
pagenum: 71; title: Paste Special
pagenum: 71; title: Concatenation
pagenum: 72; title: Error Values
pagenum: 72; title: Problems and Exercises
pagenum: 73; label: Chapter 2
title: Database Analytics
pagenum: 75; title: Learning Objectives
pagenum: 75; title: Data Sets and Databases
pagenum: 77; title: Using Range Names in Databases
pagenum: 78; title: Analytics in Practice: Using Big Data to Monitor Water Usage in Cary, North Carolina
pagenum: 79; title: Data Queries: Tables, Sorting, and Filtering
pagenum: 79; title: Sorting Data in Excel
pagenum: 80; title: Pareto Analysis
pagenum: 81; title: Filtering Data
pagenum: 82; title: Database Functions
pagenum: 84; title: Analytics in Practice: Discovering the Value of Database Analytics at Allders International
pagenum: 86; title: Logical Functions
pagenum: 87; title: Lookup Functions for Database Queries
pagenum: 89; title: Excel Template Design
pagenum: 92; title: Data Validation Tools
pagenum: 93; title: Form Controls
pagenum: 95; title: PivotTables
pagenum: 98; title: PivotTable Customization
pagenum: 100; title: Slicers
pagenum: 103; title: Key Terms
pagenum: 104; title: Chapter 2 Technology Help
pagenum: 104; title: Problems and Exercises
pagenum: 105; title: Case: People's Choice Bank
pagenum: 109; title: Case: Drout Advertising Research Project
pagenum: 110; label: Part 2
title: Descriptive Analytics; label: Chapter 3
title: Data Visualization
pagenum: 113; title: Learning Objectives
pagenum: 113; title: The Value of Data Visualization
pagenum: 114; title: Tools and Software for Data Visualization
pagenum: 116; title: Analytics in Practice: Data Visualization for the New York City Police Department's Domain Awareness System
pagenum: 116; title: Creating Charts in Microsoft Excel
pagenum: 116; title: Column and Bar Charts
pagenum: 117; title: Data Label and Data Table Chart Options
pagenum: 118; title: Line Charts
pagenum: 119; title: Pie Charts
pagenum: 120; title: Area Charts
pagenum: 121; title: Scatter Charts and Orbit Charts
pagenum: 122; title: Bubble Charts
pagenum: 123; title: Combination Charts
pagenum: 124; title: Radar Charts
pagenum: 125; title: Stock Charts
pagenum: 125; title: Charts from PivotTables
pagenum: 125; title: Geographic Data
pagenum: 126; title: Other Excel Data Visualization Tools
pagenum: 126; title: Data Bars
pagenum: 126; title: Color Scales
pagenum: 127; title: Icon Sets
pagenum: 128; title: Sparklines
pagenum: 129; title: Dashboards
pagenum: 131; title: Analytics in Practice: Driving Business Transformation with IBM Business Analytics
pagenum: 132; title: Key Terms
pagenum: 133; title: Chapter 3 Technology Help
pagenum: 133; title: Problems and Exercises
pagenum: 134; title: Case: Performance Lawn Equipment
pagenum: 135; label: Appendix A3
title: Additional Tools for Data Visualization
pagenum: 136; title: Hierarchy Charts
pagenum: 136; title: Waterfall Charts
pagenum: 136; title: PivotCharts
pagenum: 138; title: Tableau
pagenum: 139; title: Problems and Exercises
pagenum: 141; label: Chapter 4
title: Descriptive Statistics
pagenum: 143; title: Learning Objectives
pagenum: 143; title: Analytics in Practice: Applications of Statistics in Health Care
pagenum: 145; title: Metrics and Data Classification
pagenum: 146; title: Frequency Distributions and Histograms
pagenum: 148; title: Frequency Distributions for Categorical Data
pagenum: 148; title: Relative Frequency Distributions
pagenum: 149; title: Frequency Distributions for Numerical Data
pagenum: 150; title: Grouped Frequency Distributions
pagenum: 151; title: Cumulative Relative Frequency Distributions
pagenum: 154; title: Constructing Frequency Distributions Using PivotTables
pagenum: 155; title: Percentiles and Quartiles
pagenum: 157; title: Cross-Tabulations
pagenum: 158; title: Descriptive Statistical Measures
pagenum: 160; title: Populations and Samples
pagenum: 160; title: Statistical Notation
pagenum: 161; title: Measures of Location: Mean, Median, Mode, and Midrange
pagenum: 161; title: Using Measures of Location in Business Decisions
pagenum: 163; title: Measures of Dispersion: Range, Interquartile Range, Variance, and Standard Deviation
pagenum: 165; title: Chebyshev's Theorem and the Empirical Rules
pagenum: 168; title: Standardized Values (Z-Scores)
pagenum: 170; title: Coefficient of Variation
pagenum: 171; title: Measures of Shape
pagenum: 172; title: Excel Descriptive Statistics Tool
pagenum: 174; title: Computing Descriptive Statistics for Frequency Distributions
pagenum: 175; title: Descriptive Statistics for Categorical Data: The Proportion
pagenum: 177; title: Statistics in PivotTables
pagenum: 178; title: Measures of Association
pagenum: 179; title: Covariance
pagenum: 180; title: Correlation
pagenum: 181; title: Excel Correlation Tool
pagenum: 183; title: Outliers
pagenum: 184; title: Using Descriptive Statistics to Analyze Survey Data
pagenum: 186; title: Statistical Thinking in Business Decisions
pagenum: 187; title: Variability in Samples
pagenum: 188; title: Analytics in Practice: Applying Statistical Thinking to Detecting Financial Problems
pagenum: 190; title: Key Terms
pagenum: 191; title: Chapter 4 Technology Help
pagenum: 192; title: Problems and Exercises
pagenum: 193; title: Case: Drout Advertising Research Project
pagenum: 198; title: Case: Performance Lawn Equipment
pagenum: 198; label: Appendix A4
title: Additional Charts for Descriptive Statistics in Excel for Windows
pagenum: 199; title: Problems and Exercises
pagenum: 200; label: Chapter 5
title: Probability Distributions and Data Modeling
pagenum: 201; title: Learning Objectives
pagenum: 201; title: Basic Concepts of Probability
pagenum: 203; title: Experiments and Sample Spaces
pagenum: 203; title: Combinations and Permutations
pagenum: 203; title: Probability Definitions
pagenum: 205; title: Probability Rules and Formulas
pagenum: 207; title: Joint and Marginal Probability
pagenum: 208; title: Conditional Probability
pagenum: 210; title: Random Variables and Probability Distributions
pagenum: 213; title: Discrete Probability Distributions
pagenum: 215; title: Expected Value of a Discrete Random Variable
pagenum: 216; title: Using Expected Value in Making Decisions
pagenum: 217; title: Variance of a Discrete Random Variable
pagenum: 219; title: Bernoulli Distribution
pagenum: 219; title: Binomial Distribution
pagenum: 220; title: Poisson Distribution
pagenum: 221; title: Analytics in Practice: Using the Poisson Distribution for Modeling Bids on Priceline
pagenum: 223; title: Continuous Probability Distributions
pagenum: 224; title: Properties of Probability Density Functions
pagenum: 224; title: Uniform Distribution
pagenum: 225; title: Normal Distribution
pagenum: 227; title: The NORM.INV Function
pagenum: 228; title: Standard Normal Distribution
pagenum: 229; title: Using Standard Normal Distribution Tables
pagenum: 230; title: Exponential Distribution
pagenum: 231; title: Triangular Distribution
pagenum: 232; title: Data Modeling and Distribution Fitting
pagenum: 233; title: Goodness of Fit: Testing for Normality of an Empirical Distribution
pagenum: 235; title: Analytics in Practice: The Value of Good Data Modeling in Advertising
pagenum: 237; title: Key Terms
pagenum: 238; title: Chapter 5 Technology Help
pagenum: 238; title: Problems and Exercises
pagenum: 239; title: Case: Performance Lawn Equipment
pagenum: 245; label: Chapter 6
title: Sampling and Estimation
pagenum: 247; title: Learning Objectives
pagenum: 247; title: Statistical Sampling
pagenum: 248; title: Sampling Methods
pagenum: 249; title: Analytics in Practice: Using Sampling Techniques to Improve Distribution
pagenum: 251; title: Estimating Population Parameters
pagenum: 252; title: Unbiased Estimators
pagenum: 252; title: Errors in Point Estimation
pagenum: 253; title: Understanding Sampling Error
pagenum: 254; title: Sampling Distributions
pagenum: 256; title: Sampling Distribution of the Mean
pagenum: 256; title: Applying the Sampling Distribution of the Mean
pagenum: 257; title: Interval Estimates
pagenum: 257; title: Confidence Intervals
pagenum: 258; title: Confidence Interval for the Mean with Known Population Standard Deviation
pagenum: 259; title: The t-Distribution
pagenum: 260; title: Confidence Interval for the Mean with Unknown Population Standard Deviation
pagenum: 261; title: Confidence Interval for a Proportion
pagenum: 261; title: Additional Types of Confidence Intervals
pagenum: 263; title: Using Confidence Intervals for Decision Making
pagenum: 263; title: Data Visualization for Confidence Interval Comparison
pagenum: 264; title: Prediction Intervals
pagenum: 265; title: Confidence Intervals and Sample Size
pagenum: 266; title: Key Terms
pagenum: 268; title: Chapter 6 Technology Help
pagenum: 268; title: Problems and Exercises
pagenum: 269; title: Case: Drout Advertising Research Project
pagenum: 272; title: Case: Performance Lawn Equipment
pagenum: 273; label: Chapter 7
title: Statistical Inference
pagenum: 275; title: Learning Objectives
pagenum: 275; title: Hypothesis Testing
pagenum: 276; title: Hypothesis-Testing Procedure
pagenum: 276; title: One-Sample Hypothesis Tests
pagenum: 277; title: Understanding Potential Errors in Hypothesis Testing
pagenum: 278; title: Selecting the Test Statistic
pagenum: 279; title: Finding Critical Values and Drawing a Conclusion
pagenum: 280; title: Two-Tailed Test of Hypothesis for the Mean
pagenum: 282; title: Summary of One-Sample Hypothesis Tests for the Mean
pagenum: 283; title: p-Values
pagenum: 284; title: One-Sample Tests for Proportions
pagenum: 285; title: Confidence Intervals and Hypothesis Tests
pagenum: 286; title: An Excel Template for One-Sample Hypothesis Tests
pagenum: 286; title: Two-Sample Hypothesis Tests
pagenum: 287; title: Two-Sample Tests for Differences in Means
pagenum: 288; title: Two-Sample Test for Means with Paired Samples
pagenum: 290; title: Two-Sample Test for Equality of Variances
pagenum: 292; title: Analysis of Variance (ANOVA)
pagenum: 294; title: Assumptions of ANOVA
pagenum: 296; title: Chi-Square Test for Independence
pagenum: 297; title: Cautions in Using the Chi-Square Test
pagenum: 299; title: Chi-Square Goodness of Fit Test
pagenum: 300; title: Analytics in Practice: Using Hypothesis Tests and Business Analytics in a Help Desk Service Improvement Project
pagenum: 301; title: Key Terms
pagenum: 302; title: Chapter 7 Technology Help
pagenum: 302; title: Problems and Exercises
pagenum: 304; title: Case: Drout Advertising Research Project
pagenum: 309; title: Case: Performance Lawn Equipment
pagenum: 309; label: Part 3
title: Predictive Analytics; label: Chapter 8
title: Trendlines and Regression Analysis
pagenum: 311; title: Learning Objectives
pagenum: 311; title: Modeling Relationships and Trends in Data
pagenum: 313; title: Analytics in Practice: Using Predictive Trendline Models at Procter & Gamble
pagenum: 317; title: Simple Linear Regression
pagenum: 317; title: Finding the Best-Fitting Regression Line
pagenum: 319; title: Using Regression Models for Prediction
pagenum: 319; title: Least-Squares Regression
pagenum: 320; title: Simple Linear Regression with Excel
pagenum: 322; title: Regression as Analysis of Variance
pagenum: 324; title: Testing Hypotheses for Regression Coefficients
pagenum: 325; title: Confidence Intervals for Regression Coefficients
pagenum: 325; title: Residual Analysis and Regression Assumptions
pagenum: 326; title: Checking Assumptions
pagenum: 327; title: Multiple Linear Regression
pagenum: 329; title: Analytics in Practice: Using Linear Regression and Interactive Risk Simulators to Predict Performance at Aramark
pagenum: 332; title: Building Good Regression Models
pagenum: 334; title: Correlation and Multicollinearity
pagenum: 336; title: Practical Issues in Trendline and Regression Modeling
pagenum: 338; title: Regression with Categorical Independent Variables
pagenum: 338; title: Categorical Variables with More Than Two Levels
pagenum: 341; title: Regression Models with Nonlinear Terms
pagenum: 343; title: Key Terms
pagenum: 345; title: Chapter 8 Technology Help
pagenum: 345; title: Problems and Exercises
pagenum: 346; title: Case: Performance Lawn Equipment
pagenum: 350; label: Chapter 9
title: Forecasting Techniques
pagenum: 353; title: Learning Objectives
pagenum: 353; title: Analytics in Practice: Forecasting Call-Center Demand at L.L.Bean
pagenum: 354; title: Qualitative and Judgmental Forecasting
pagenum: 355; title: Historical Analogy
pagenum: 357; title: The Delphi Method
pagenum: 355; title: Indicators and Indexes
pagenum: 356; title: Statistical Forecasting Models
pagenum: 357; title: Forecasting Models for Stationary Time Series
pagenum: 359; title: Moving Average Models
pagenum: 359; title: Error Metrics and Forecast Accuracy
pagenum: 361; title: Exponential Smoothing Models
pagenum: 363; title: Forecasting Models for Time Series with a Linear Trend
pagenum: 366; title: Double Exponential Smoothing
pagenum: 366; title: Regression-Based Forecasting for Time Series with a Linear Trend
pagenum: 368; title: Forecasting Time Series with Seasonality
pagenum: 369; title: Regression-Based Seasonal Forecasting Models
pagenum: 369; title: Holt-Winters Models for Forecasting Time Series with Seasonality and No Trend
pagenum: 371; title: Holt-Winters Models for Forecasting Time Series with Seasonality and Trend
pagenum: 373; title: Selecting Appropriate Time-Series-Based Forecasting Models
pagenum: 376; title: Regression Forecasting with Causal Variables
pagenum: 376; title: The Practice of Forecasting
pagenum: 377; title: Analytics in Practice: Forecasting at NBCUniversal
pagenum: 378; title: Key Terms
pagenum: 379; title: Chapter 9 Technology Help
pagenum: 380; title: Problems and Exercises
pagenum: 380; title: Case: Performance Lawn Equipment
pagenum: 382; label: Chapter 10
title: Introduction to Data Mining
pagenum: 383; title: Learning Objectives
pagenum: 383; title: The Scope of Data Mining
pagenum: 384; title: Cluster Analysis
pagenum: 386; title: Measuring Distance Between Objects
pagenum: 387; title: Normalizing Distance Measures
pagenum: 388; title: Clustering Methods
pagenum: 388; title: Classification
pagenum: 390; title: An Intuitive Explanation of Classification
pagenum: 391; title: Measuring Classification Performance
pagenum: 392; title: Classification Techniques
pagenum: 393; title: Association
pagenum: 398; title: Cause-and-Effect Modeling
pagenum: 400; title: Analytics in Practice: Successful Business Applications of Data Mining
pagenum: 402; title: Key Terms
pagenum: 402; title: Chapter 10 Technology Help
pagenum: 403; title: Problems and Exercises
pagenum: 403; title: Case: Performance Lawn Equipment
pagenum: 404; label: Chapter 11
title: Spreadsheet Modeling and Analysis
pagenum: 405; title: Learning Objectives
pagenum: 405; title: Analytics in Practice: Using Spreadsheet Modeling and Analysis at Nestlé
pagenum: 407; title: Model-Building Strategies
pagenum: 407; title: Building Models Using Logic and Business Principles
pagenum: 407; title: Building Models Using Influence Diagrams
pagenum: 408; title: Building Models Using Historical Data
pagenum: 409; title: Model Assumptions, Complexity, and Realism
pagenum: 410; title: Implementing Models on Spreadsheets
pagenum: 410; title: Spreadsheet Design
pagenum: 411; title: Spreadsheet Quality
pagenum: 412; title: Data Validation
pagenum: 414; title: Analytics in Practice: Spreadsheet Engineering at Procter & Gamble
pagenum: 416; title: Descriptive Spreadsheet Models
pagenum: 416; title: Staffing Decisions
pagenum: 417; title: Single-Period Purchase Decisions
pagenum: 418; title: Overbooking Decisions
pagenum: 420; title: Analytics in Practice: Using an Overbooking Model at a Student Health Clinic
pagenum: 421; title: Retail Markdown Decisions
pagenum: 421; title: Predictive Spreadsheet Models
pagenum: 423; title: New Product Development Model
pagenum: 423; title: Cash Budgeting
pagenum: 425; title: Retirement Planning
pagenum: 426; title: Project Management
pagenum: 426; title: Prescriptive Spreadsheet Models
pagenum: 429; title: Portfolio Allocation
pagenum: 429; title: Locating Central Facilities
pagenum: 430; title: Job Sequencing
pagenum: 432; title: Analyzing Uncertainty and Model Assumptions
pagenum: 434; title: What-If Analysis
pagenum: 434; title: Data Tables
pagenum: 434; title: Scenario Manager
pagenum: 437; title: Goal Seek
pagenum: 438; title: Key Terms
pagenum: 440; title: Chapter 11 Technology Help
pagenum: 441; title: Problems and Exercises
pagenum: 442; title: Case: Performance Lawn Equipment
pagenum: 449; label: Chapter 12
title: Simulation and Risk Analysis
pagenum: 451; title: Learning Objectives
pagenum: 451; title: Monte Carlo Simulation
pagenum: 453; title: Random Sampling from Probability Distributions
pagenum: 455; title: Generating Random Variates using Excel Functions
pagenum: 457; title: Discrete Probability Distributions
pagenum: 457; title: Uniform Distributions
pagenum: 458; title: Exponential Distributions
pagenum: 459; title: Normal Distributions
pagenum: 459; title: Binomial Distributions
pagenum: 461; title: Triangular Distributions
pagenum: 461; title: Monte Carlo Simulation in Excel
pagenum: 463; title: Profit Model Simulation
pagenum: 463; title: New Product Development
pagenum: 466; title: Retirement Planning
pagenum: 468; title: Single-Period Purchase Decisions
pagenum: 469; title: Overbooking Decisions
pagenum: 472; title: Project Management
pagenum: 472; title: Analytics in Practice: Implementing Large-Scale Monte Carlo Spreadsheet Models
pagenum: 474; title: Dynamic Systems Simulation
pagenum: 475; title: Simulating Waiting Lines
pagenum: 477; title: Analytics in Practice: Using Systems Simulation for Agricultural Product Development
pagenum: 480; title: Key Terms
pagenum: 481; title: Chapter 12 Technology Help
pagenum: 481; title: Problems and Exercises
pagenum: 481; title: Case: Performance Lawn Equipment
pagenum: 491; label: Part 4
title: Prescriptive Analytics; label: Chapter 13
title: Linear Optimization
pagenum: 493; title: Learning Objectives
pagenum: 493; title: Optimization Models
pagenum: 494; title: Analytics in Practice: Using Optimization Models for Sales Planning at NBC
pagenum: 496; title: Developing Linear Optimization Models
pagenum: 497; title: Identifying Decision Variables, the Objective, and Constraints
pagenum: 498; title: Developing a Mathematical Model
pagenum: 499; title: More About Constraints
pagenum: 500; title: Implementing Linear Optimization Models on Spreadsheets
pagenum: 502; title: Excel Functions to Avoid in Linear Optimization
pagenum: 503; title: Solving Linear Optimization Models
pagenum: 504; title: Solver Answer Report
pagenum: 506; title: Graphical Interpretation of Linear Optimization with Two Variables
pagenum: 507; title: How Solver Works
pagenum: 513; title: How Solver Creates Names in Reports
pagenum: 514; title: Solver Outcomes and Solution Messages
pagenum: 515; title: Unique Optimal Solution
pagenum: 515; title: Alternative (Multiple) Optimal Solutions
pagenum: 515; title: Unbounded Solution
pagenum: 515; title: Infeasibility
pagenum: 517; title: Applications of Linear Optimization
pagenum: 519; title: Blending Models
pagenum: 519; title: Dealing with Infeasibility
pagenum: 520; title: Portfolio Investment Models
pagenum: 521; title: Scaling Issues in Using Solver
pagenum: 523; title: Transportation Models
pagenum: 526; title: Multiperiod Production Planning Models
pagenum: 529; title: Multiperiod Financial Planning Models
pagenum: 533; title: Analytics in Practice: Linear Optimization in Bank Financial Planning
pagenum: 536; title: Key Terms
pagenum: 537; title: Chapter 13 Technology Help
pagenum: 537; title: Problems and Exercises
pagenum: 538; title: Case: Performance Lawn Equipment
pagenum: 550; label: Chapter 14
title: Integer and Nonlinear Optimization
pagenum: 551; title: Learning Objectives
pagenum: 551; title: Integer Linear Optimization Models
pagenum: 552; title: Models with General Integer Variables
pagenum: 553; title: Workforce-Scheduling Models
pagenum: 556; title: Alternative Optimal Solutions
pagenum: 559; title: Models with Binary Variables
pagenum: 561; title: Using Binary Variables to Model Logical Constraints
pagenum: 562; title: Applications in Supply Chain Optimization
pagenum: 563; title: Analytics in Practice: Supply Chain Optimization at Procter & Gamble
pagenum: 567; title: Nonlinear Optimization Models
pagenum: 567; title: A Nonlinear Pricing Decision Model
pagenum: 567; title: Quadratic Optimization
pagenum: 571; title: Practical Issues Using Solver for Nonlinear Optimization
pagenum: 572; title: Analytics in Practice: Applying Nonlinear Optimization at Prudential Securities
pagenum: 573; title: Non-Smooth Optimization
pagenum: 574; title: Evolutionary Solver
pagenum: 574; title: Evolutionary Solver for Sequencing and Scheduling Models
pagenum: 577; title: The Traveling Salesperson Problem
pagenum: 579; title: Key Terms
pagenum: 581; title: Chapter 14 Technology Help
pagenum: 581; title: Problems and Exercises
pagenum: 582; title: Case: Performance Lawn Equipment
pagenum: 591; label: Chapter 15
title: Optimization Analytics
pagenum: 593; title: Learning Objectives
pagenum: 593; title: What-If Analysis for Optimization Models
pagenum: 594; title: Solver Sensitivity Report
pagenum: 595; title: Using the Sensitivity Report
pagenum: 600; title: Degeneracy
pagenum: 601; title: Interpreting Solver Reports for Nonlinear Optimization Models
pagenum: 601; title: Models with Bounded Variables
pagenum: 603; title: Auxiliary Variables for Bound Constraints
pagenum: 606; title: What-If Analysis for Integer Optimization Models
pagenum: 609; title: Visualization of Solver Reports
pagenum: 611; title: Using Sensitivity Information Correctly
pagenum: 618; title: Key Terms
pagenum: 622; title: Chapter 15 Technology Help
pagenum: 622; title: Problems and Exercises
pagenum: 622; title: Case: Performance Lawn Equipment
pagenum: 629; label: Part 5
title: Making Decisions; label: Chapter 16
title: Decision Analysis
pagenum: 631; title: Learning Objectives
pagenum: 631; title: Formulating Decision Problems
pagenum: 633; title: Decision Strategies Without Outcome Probabilities
pagenum: 634; title: Decision Strategies for a Minimize Objective
pagenum: 634; title: Decision Strategies for a Maximize Objective
pagenum: 636; title: Decisions with Conflicting Objectives
pagenum: 636; title: Decision Strategies with Outcome Probabilities
pagenum: 638; title: Average Payoff Strategy
pagenum: 638; title: Expected Value Strategy
pagenum: 638; title: Evaluating Risk
pagenum: 639; title: Decision Trees
pagenum: 640; title: Decision Trees and Risk
pagenum: 642; title: Sensitivity Analysis in Decision Trees
pagenum: 645; title: The Value of Information
pagenum: 646; title: Decisions with Sample Information
pagenum: 647; title: Bayes's Rule
pagenum: 648; title: Utility and Decision Making
pagenum: 649; title: Constructing a Utility Function
pagenum: 650; title: Exponential Utility Functions
pagenum: 653; title: Analytics in Practice: Using Decision Analysis in Drug Development
pagenum: 654; title: Key Terms
pagenum: 655; title: Chapter 16 Technology Help
pagenum: 655; title: Problems and Exercises
pagenum: 656; title: Case: Performance Lawn Equipment
pagenum: 660; title: Appendix A
pagenum: 661; title: Glossary
pagenum: 685; title: Index
pagenum: 693