JMP 12 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Specialized Models
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 13.2 Online Documentation
Design of Experiments Guide
• The Screening Platform
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The Screening Platform
Analyze Data from Screening Experiments
The Screening platform is a modeling platform that you can use to analyze experimental data that results from a screening design. The Screening platform helps you select a model by identifying effects that have a large impact on the response.
The Screening platform is based on the principle of effect sparsity (Box and Meyer, 1986). This principle asserts that relatively few of the effects that you study in a screening design are active. Most are inactive, meaning that their true effects are zero and that their estimates are random error.
A screening design often provides no degrees of freedom for error. Consequently, classical tests for effects are not available. In such cases, the Screening platform is particularly useful.
Half Normal Plot from Screening Report
Contents
Overview of the Screening Platform
An Example Comparing Screening and Fit Model
Launch the Screening Platform
The Screening Report
Contrasts
Half Normal Plot
Using the Fit Model Platform
Additional Screening Analysis Examples
Analyzing a Plackett-Burman Design
Analyzing a Supersaturated Design
Technical Details
Order of Effect Entry
Screening as an Orthogonal Rotation
Lenth’s Pseudo-Standard Error