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JMP 13 Profilers, Second Edition, 2nd Edition

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

  1. Contents
  2. Learn about JMP
    1. Documentation and Additional Resources
    2. Formatting Conventions
    3. JMP Documentation
      1. JMP Documentation Library
      2. JMP Help
    4. Additional Resources for Learning JMP
      1. Tutorials
      2. Sample Data Tables
      3. Learn about Statistical and JSL Terms
      4. Learn JMP Tips and Tricks
      5. Tooltips
      6. JMP User Community
      7. JMPer Cable
      8. JMP Books by Users
      9. The JMP Starter Window
    5. Technical Support
  3. Introduction to Profilers
    1. Visualize Response Surfaces and Optimize Processes
    2. Profiler Overview
    3. Introduction to Profiling
      1. Profiler Features in JMP
      2. Profiler Launch Windows
        1. Expand Intermediate Formulas
      3. Fit Group
    4. Interpret the Profiles
      1. The Profiler as a Cross-Section
      2. Set or Lock Factor Values
    5. Profiler Platform Options
    6. Common Profiler Topics
      1. Linear Constraints
        1. Red Triangle Menu Item
        2. Constraint Table Property/Script
      2. Noise Factors
  4. Profiler
    1. Explore Cross Sections of Responses across Each Factor
    2. Example of the Prediction Profiler
    3. Launch the Prediction Profiler Platform
    4. Prediction Profiler Options
    5. Desirability Profiling and Optimization
      1. Construction of Desirability Functions
      2. How to Use the Desirability Function
      3. The Desirability Profile
      4. Customized Desirability Functions
    6. Assess Variable Importance
      1. The Assess Variable Importance Report
      2. Variable Importance Report
    7. Bagging
    8. Additional Examples of the Prediction Profiler
      1. Example of Desirability Profiling for Multiple Responses
      2. Example of a Noise Factor in the Prediction Profiler
      3. Example of Variable Importance for One Response
      4. Example of Variable Importance for Multiple Responses
      5. Example of Bagging to Improve Prediction
        1. Fit Neural Network Model
        2. Perform Bagging
        3. Compare the Predictions
      6. Example of Bagging to Indicate the Accuracy of Predictions
        1. Fit a Generalized Regression Model
        2. Perform Bagging
        3. Prediction for a New Observation
    9. Statistical Details for the Prediction Profiler
      1. Assess Variable Importance
        1. Background
        2. Adjustment for Sampling Variation
        3. Variable Importance Standard Errors
      2. Propagation of Error Bars
  5. Contour Profiler
    1. Explore Contours of Responses across Two Factors
    2. Contour Profiler Overview
    3. Example of the Contour Profiler
    4. Launch the Contour Profiler Platform
    5. The Contour Profiler Report
      1. Factor Settings and Controls
      2. Response Settings and Controls
    6. Contour Profiler Platform Options
    7. Constraint Shading Settings
    8. Additional Examples of the Contour Profiler
      1. Explore Optimal Settings
  6. Surface Plot
    1. Explore Contours of Responses across Three Factors
    2. Overview of the Surface Plot and Surface Profiler Platforms
    3. Example of the Surface Plot Platform
    4. Launch the Surface Plot Platform
    5. The Surface Plot Report
      1. The Surface Plot
      2. Appearance Controls
        1. Surface Plot Appearance Controls
        2. Surface Profiler Appearance Controls
      3. Independent Variables
      4. Dependent Variables
        1. Controls for Sheet and Points
        2. Controls for Isosurface
    6. Surface Plot Platform Options
      1. Pop-Up Menu Options
      2. Dependent Variables Options
    7. Sheet or Surface Properties
    8. Keyboard Shortcuts
    9. Additional Examples of the Surface Plot Platform
      1. Construct a Surface Plot for a Single Mathematical Function
      2. Plotting Isosurfaces
  7. Mixture Profiler
    1. Explore Factor Effects Using Ternary Plots
    2. Mixture Profiler Overview
      1. Ternary Plot Overview
      2. Ternary Plots with More Than Three Components
    3. Example of the Mixture Profiler
    4. Launch the Mixture Profiler Platform
    5. The Mixture Profiler Report
      1. Factor Settings and Controls
      2. Response Settings and Controls
    6. Mixture Profiler Platform Options
      1. Customizations for the Mixture Profiler
    7. Linear Constraints
    8. Additional Examples of the Mixture Profiler Platform
      1. Mixture Variables with a Process Variable
      2. Multiple Responses with Five Mixture Variables
  8. Custom Profiler
    1. Explore Response Surfaces Using a Numerical Calculator
    2. Custom Profiler Overview
    3. Example of the Custom Profiler
    4. Launch the Custom Profiler Platform
    5. The Custom Profiler Report
      1. Factor Settings and Controls
      2. Response Settings and Controls
      3. Optimization Settings and Controls
    6. Custom Profiler Platform Options
  9. Simulator
    1. Explore the Effects of Variation on Responses
    2. Simulator Overview
    3. Example of the Simulator
    4. Specify Factors
    5. Simulator Report Options
      1. Responses Report Options
      2. Simulate to Table Report Options
        1. Sequencing Report Options
      3. Spec Limits Report Options
    6. Specification Limits
      1. Simulate General Formulas
    7. Defect Profiler
      1. About Tolerance Design
      2. Graph Scale
      3. Expected Defects
      4. Simulation Method and Details
      5. Notes
    8. Defect Parametric Profiler
    9. Simulation Experiment
    10. Additional Examples of the Simulator
      1. Example of the Defect Profiler
      2. Example of Stochastic Optimization
    11. Statistical Details for the Simulator
      1. Normal Weighted Distribution
  10. Excel Profiler
    1. Visualize Models Saved in Microsoft Excel
    2. Excel Profiler Overview
    3. Example of an Excel Model
    4. Run the JMP Profiler
    5. Use Linear Constraints
    6. Resolution of Profile Lines
    7. Use the Excel Profiler from JMP
  11. References
  12. Index
    1. Profilers