JMP 13.2 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 12 Online Documentation
Design of Experiments Guide
• The Fit Definitive Screening Platform
Previous
•
Next
The Fit Definitive Screening Platform
Analyze Data from Definitive Screening Experiments
Use the Fit Definitive Screening platform to analyze definitive screening designs (DSDs) using a methodology called
Effective Model Selection for DSDs
. This methodology takes advantage of the unique structure of definitive screening designs.
Standard model selection methods applied to DSDs can fail to identify active effects. To identify active main effects and second-order effects, the Effective Model Selection for DSDs algorithm leverages the structure of DSDs and assumes strong effect heredity.
Fit Definitive Screening Results
Contents
Overview of the Fit Definitive Screening Platform
Identification of Active Effects in DSDs
Effective Model Selection for DSDs
Example of the Fit Definitive Screening Platform
Fit the Model
Examine Results
Reduce the Model
Launch the Fit Definitive Screening Platform
Fit Definitive Screening Report
Stage 1 - Main Effect Estimates
Stage 2 - Even Order Effect Estimates
Combined Model Parameter Estimates
Main Effects Plot
Prediction Profiler
Fit Definitive Screening Platform Options
Technical Details
The Effective Model Selection for DSDs Algorithm
Previous
•
Next
Help created on 9/19/2017