- Contents
- Learn about JMP
- Model Specification
- Specify Linear Models
- Overview of the Fit Model Platform
- Example of a Regression Analysis Using Fit Model
- Launch the Fit Model Platform
- Model Specification Options
- Validity Checks
- Examples of Model Specifications and Their Model Fits
- Simple Linear Regression
- Polynomial in X to Degree k
- Polynomial in X and Z to Degree k
- Multiple Linear Regression
- One-Way Analysis of Variance
- Two-Way Analysis of Variance
- Two-Way Analysis of Variance with Interaction
- Three-Way Full Factorial
- Analysis of Covariance, Equal Slopes
- Analysis of Covariance, Unequal Slopes
- Two-Factor Nested Random Effects Model
- Three-Factor Fully Nested Random Effects Model
- Simple Split Plot or Repeated Measures Model
- Two-Factor Response Surface Model
- Knotted Spline Effect
- Standard Least Squares Report and Options
- Analyze Common Classes of Models
- Example Using Standard Least Squares
- Launch the Standard Least Squares Personality
- Fit Least Squares Report
- Response Options
- Regression Reports
- Estimates
- Effect Screening
- Factor Profiling
- Row Diagnostics
- Save Columns
- Effect Summary Report
- Mixed and Random Effect Model Reports and Options
- Models with Linear Dependencies among Model Terms
- Statistical Details
- Standard Least Squares Examples
- Analyze Common Classes of Models
- One-Way Analysis of Variance Example
- Analysis of Covariance with Equal Slopes Example
- Analysis of Covariance with Unequal Slopes Example
- Response Surface Model Example
- Split Plot Design Example
- Estimation of Random Effect Parameters Example
- Knotted Spline Effect Example
- Bayes Plot for Active Factors Example
- Stepwise Regression Models
- Find a Model Using Variable Selection
- Overview of Stepwise Regression
- Example Using Stepwise Regression
- The Stepwise Report
- Models with Crossed, Interaction, or Polynomial Terms
- Models with Nominal and Ordinal Effects
- Performing Binary and Ordinal Logistic Stepwise Regression
- The All Possible Models Option
- The Model Averaging Option
- Using Validation
- Generalized Regression Models
- Build Models Using Variable Selection Techniques
- Generalized Regression Overview
- Example of Generalized Regression
- Launch the Generalized Regression Personality
- Generalized Regression Report Window
- Model Launch Control Panel
- Model Fit Reports
- Model Fit Options
- Statistical Details
- Generalized Regression Examples
- Mixed Models
- Jointly Model the Mean and Covariance
- Overview of the Mixed Model Personality
- Example Using Mixed Model
- Launch the Mixed Model Personality
- The Fit Mixed Report
- Multiple Comparisons
- Marginal Model Inference
- Conditional Model Inference
- Save Columns
- Additional Examples
- Statistical Details
- Multivariate Response Models
- Loglinear Variance Models
- Logistic Regression with Nominal or Ordinal Responses
- Fit Models for Categorical Responses
- Introduction to Logistic Models
- The Logistic Fit Report
- Logistic Fit Platform Options
- Validation
- Example of a Nominal Logistic Model
- Example of an Ordinal Logistic Model
- Example of a Quadratic Ordinal Logistic Model
- Stacking Counts in Multiple Columns
- Generalized Linear Models
- Statistical Details
- References
- Index
Chapter 4
Standard Least Squares Examples
Analyze Common Classes of Models
This chapter provides examples with instructional material for several standard least squares topics. These include analysis of variance, analysis of covariance, a response surface model, a split plot design, estimation of random effect parameters, a knotted spline fit, and the identification of active factors using a script that provides a Bayesian approach.
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