- Cover Page
- Title Page
- Copyright Page
- Contents
- Learn About JMP
- Launch the Fit Model Platform
- Example of the Fit Model Platform
- Specify Different Model Types
- Construct Model Effects
- Fitting Personalities
- Emphasis Options for Standard Least Squares
- Model Specification Options
- Validity Checks
- Fitting Standard Least Squares Models
- Example Using Standard Least Squares
- The Standard Least Squares Report and Options
- Regression Reports
- Estimates
- Effect Screening
- Factor Profiling
- Row Diagnostics
- Save Columns
- Effect Options
- Restricted Maximum Likelihood (REML) Method
- Method of Moments Results
- Singularity Details
- Examples with Statistical Details
- Fitting Stepwise Regression Models
- Overview of Stepwise Regression
- Example Using Stepwise Regression
- The Stepwise Report
- Models with Crossed, Interaction, or Polynomial Terms
- Models with Nominal and Ordinal Terms
- Using the Make Model Command for Hierarchical Terms
- Performing Logistic Stepwise Regression
- The All Possible Models Option
- The Model Averaging Option
- Using Validation
- Fitting Multiple Response Models
- Fitting Generalized Linear Models
- Performing Logistic Regression on Nominal and Ordinal Responses
- Analyzing Screening Designs
- Performing Nonlinear Regression
- Creating Neural Networks
- Modeling Relationships With Gaussian Processes
- Fitting Dispersion Effects with the Loglinear Variance Model
- Recursively Partitioning Data
- Performing Time Series Analysis
- Performing Categorical Response Analysis
- Performing Choice Modeling
- Introduction to Choice Modeling
- Product Design Engineering
- Data for the Choice Platform
- Example: Pizza Choice
- Launch the Choice Platform and Select Data Sets
- Platform Options
- Example: Valuing Trade-offs
- One-Table Analysis
- Segmentation
- Special Data Rules
- Transforming Data
- Logistic Regression for Matched Case-Control Studies
- Correlations and Multivariate Techniques
- Clustering Data
- Analyzing Principal Components and Reducing Dimensionality
- Performing Discriminant Analysis
- Fitting Partial Least Squares Models
- Scoring Tests Using Item Response Theory
- Plotting Surfaces
- Visualizing, Optimizing, and Simulating Response Surfaces
- Comparing Model Performance
- References
- The Response Models
- The Factor Models
- The Usual Assumptions
- Key Statistical Concepts
- Leverage Plot Details
- Multivariate Details
- Power Calculations
- Inverse Prediction with Confidence Limits
- Details of Random Effects
- Index
Chapter 8
Analyzing Screening Designs
Using the Screening Platform
The Screening platform helps you select a model that fits a two-level screening design by indicating which factors have the largest effect on the response.
Figure 8.1 Screening Platform Report
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