Improving Distribution Platforms for Enhanced Efficiency
Enhance your distribution platform by modernizing it for improved flow, cleaner look, consistency, and reduced maintenance. Explore the benefits of updating distribution, comparing distributional fits, fitting changes, and process capability enhancements for optimized performance.
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Presentation Transcript
Modernization of the Distribution Platform Tonya Mauldin JMP Testing
Why Update Distribution? Improve flow Cleaner look Consistency Less maintenance
Fitter Changes New Fitters Negative Binomial, Cauchy, ZI Poisson, ZI Negative Binomial Johnson fits are a single command Ability to type in the bandwidth parameter for Smooth curve Standard Errors for the SHASH distribution
Comparing distributional fits Compare Distributions report AICc weight and BIC Removal of the histogram legend Overlaid CDF plots
Options for fitted distributions QQ and PP Plots Distribution and Quantile Profilers Save Distribution Formula and Save Simulation Formula Anderson-Darling and Pearson Chi- Square goodness of fit tests
Process Capability Spec limits only shown if show as graph reference lines is checked Ability to disable the capability report Ability to specify a capability distribution Easier work flow for the quantiles option for fitted distributions Normal and non-normal capability analysis uses similar dialogs
Why Update the Platform? Improve flow Cleaner look Consistency Less maintenance
