
Better Business Decisions from Data
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Content
- Intro
- Contents
- Preface
- About the Author
- Acknowledgments
- Introduction
- Part I: Uncertainties
- Chapter 1: The Scarcity of Certainty
- Chapter 2: Sources of Uncertainty
- Statistical Data
- Processing the Data
- Chapter 3: Probability
- Probability Defined
- Combining Probabilities
- Conditional Probability
- Part II: Data
- Chapter 4: Sampling
- Problems with Sampling
- Repeated Measurements
- Simple Random Sampling
- Systematic Sampling
- Stratified Random Sampling
- Cluster Sampling
- Quota Sampling
- Sequential Sampling
- Databases
- Resampling Methods
- Data Sequences
- Chapter 5: The Raw Data
- Descriptive or Numerical
- Format of Numbers
- Rounding
- Percentages
- Simple Index Numbers
- Part III: SamplesThe
- Chapter 6: Descriptive Data
- Diagrammatic Representation
- Proportion
- Chapter 7: Numerical Data
- Diagrammatic Representation
- Normally Distributed Data
- Distribution Type
- Averages
- Spread of Data
- Grouped Data
- Pooling and Weighting
- Estimated Population Properties
- Confidence Intervals
- Part IV: Comparisons
- Chapter 8: Levels of Significance
- Chapter 9: General Procedure for Comparisons
- Chapter 10: Comparisons with Numerical Data
- Single Value
- Mean of a Sample
- Difference between Variances
- Difference between Means
- Means of Paired Data
- Multiple Samples
- Chapter 11: Comparisons with Descriptive Data
- Single Proportion
- Difference between Proportions
- Ranks
- Ranks of Paired Data
- Duplicate Ranks
- Chapter 12: Types of Error
- Part V: Relationships
- Chapter 13: Cause and Effect
- Chapter 14: Relationships with Numerical Data
- Linear Relationships
- Nonlinear Relationships
- Irregular Relationships
- Chapter 15: Relationships with Descriptive Data
- Nominal Data
- Ordinal Data
- Chapter 16: Multivariate Data
- Multiple Regression
- Analysis of Variance
- Latin and Graeco-Latin Squares
- Multidimensional Contingency Tables
- Multivariate Analysis of Variance
- Conjoint Analysis
- Proximity Maps
- Structural Equation Modeling
- Association: Some Further Methods
- Part VI: Forecasts
- Chapter 17: Extrapolation
- Chapter 18: Forecasting from Known Distributions
- Uniform Distribution
- Normal Distribution
- Binomial Distribution
- Poisson Distribution
- Exponential Distribution
- Geometric Distribution
- Weibull Distribution
- Chapter 19: Time Series
- Regression
- Autocorrelation
- Exponential Smoothing
- Chapter 20: Control Charts
- Sampling by Variable
- Sampling by Attribute
- Chapter 21: Reliability
- Basic Principles
- Reliability Data
- Distributions
- Practical Complications
- Part VII: Big Data
- Chapter 22: Data Mining
- The Growth of Data
- Data Warehouses
- Future Developments
- Chapter 23: Predictive Analytics
- Simple Rules
- Decision Trees
- Association
- Clustering
- Neural Networks
- Ensembles
- Chapter 24: Getting Involved with Big Data
- Applications
- The Big Players
- The Smaller Options
- Chapter 25: Concerns with Big Data
- Security
- Privacy
- Skills Shortage
- A New Concept
- Chapter 26: References and Further Reading
- References
- Further Reading
- Index
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