JMP 14.1 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
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 Online Documentation
JMP 12 Online Documentation
Basic Analysis •
Oneway Analysis
•
Robust
• Robust Fit
Previous
•
Next
Robust Fit
The Robust Fit option reduces the influence of outliers in the response variable. The Huber M-estimation method is used. Huber M-estimation finds parameter estimates that minimize the Huber loss function:
where
e
i
refers to the residuals
The Huber loss function penalizes outliers and increases as a quadratic for small errors and linearly for large errors. For more details about robust fitting, see Huber (
1973
) and Huber and Ronchetti (
2009
). See
Example of the Robust Fit Option
.
Previous
•
Next
Help created on 10/11/2018