Book description
JMP 11 Specialized Models provides details about modeling techniques such as partitioning, neural networks, nonlinear regression, and time series analysis. Topics include the Gaussian platform, which is useful in analyzing computer simulation experiments. The book also covers the Response Screening platform, which is useful in testing the effect of a predictor when you have many responses.
Table of contents
- Contents
- Learn about JMP
- Introduction to Specialized Modeling
-
Partition Models
- Use Decision Trees to Explore and Model Your Data
- Overview of Partition
- Example of Partition
- Launching the Partition Platform
- Partition Method
- Validation
- Graphs for Goodness of Fit
- Informative Missing
- Examples of Bootstrap Forest, Boosted Tree, and Model Comparison
- Statistical Details
- Neural Networks
- Model Comparison
- Nonlinear Regression with Built-In Models
- Nonlinear Regression with Custom Models
- Gaussian Process
- Time Series Analysis
-
Response Screening
- Screen Large-Scale Data
- Response Screening Platform Overview
- Example of Response Screening
- Launch the Response Screening Platform
- The Response Screening Report
- The PValues Data Table
- Response Screening Platform Options
- The Response Screening Personality in Fit Model
- Additional Examples of Response Screening
- Statistical Details
- References
- Statistical Details
- Index
Product information
- Title: JMP 11 Specialized Models
- Author(s):
- Release date: September 2013
- Publisher(s): SAS Institute
- ISBN: 9781612906836
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