Book description
JMP 13 Profilers covers the family of interactive profiling tools, which enable you to view cross-sections of any response surface. The book also includes details about plotting points and surfaces in a three-dimensional graph.
Table of contents
- Contents
- Learn about JMP
- Introduction to Profilers
-
Profiler
- Explore Cross Sections of Responses across Each Factor
- Example of the Prediction Profiler
- Launch the Prediction Profiler Platform
- Prediction Profiler Options
- Desirability Profiling and Optimization
- Assess Variable Importance
- Bagging
-
Additional Examples of the Prediction Profiler
- Example of Desirability Profiling for Multiple Responses
- Example of a Noise Factor in the Prediction Profiler
- Example of Variable Importance for One Response
- Example of Variable Importance for Multiple Responses
- Example of Bagging to Improve Prediction
- Example of Bagging to Indicate the Accuracy of Predictions
- Statistical Details for the Prediction Profiler
- Contour Profiler
- Surface Plot
-
Mixture Profiler
- Explore Factor Effects Using Ternary Plots
- Mixture Profiler Overview
- Example of the Mixture Profiler
- Launch the Mixture Profiler Platform
- The Mixture Profiler Report
- Explanation of Ternary Plot Axes
- Mixture Profiler Platform Options
- Linear Constraints
- Additional Examples of the Mixture Profiler Platform
- Custom Profiler
- Simulator
- Excel Profiler
- References
- Index
Product information
- Title: JMP 13 Profilers
- Author(s):
- Release date: September 2016
- Publisher(s): SAS Institute
- ISBN: 9781629605821
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