Use JMP Pro 15 to Handle Random and Fixed Effects, Repeated Measures, Random Coefficients and Variance Components
See how to:
- Handle Random and Fixed Effects
- Analyze a wide variety of linear mixed models easily and effectively
- Analyze split-plot designs using an example that studies the effects of four process conditions on resistance in wafers
- Understand how fitting Standard Least Squares can lead to incorrect inferences
- Understand when JMP Pro 15 mixed model scripts are useful for split-plot designs
- Analyze Repeated Measures, using an example that accounts for correlation between observations, to effectively understand treatment effects
- Consider and compare alternative covariance structures and choose the best fit
- Perform Individual Growth Analysis using Random Coefficients and an example that seeks to determine if any of three treatments had an effect on a growth response
- Perform Variance Components Analysis using a measurement system study example
NOTE: Q&A is included at times 37:52 and 53:21.
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