This is a walkthrough of the Demo shown in the 30 November 2006 Webinar titled "Using Statistics for Uncertainty Analysis in System Models". The demo covers two basic topics:
This demo uses MATLAB, the Statistics Toolbox, the Curve Fitting Toolbox, and the Optimization Toolbox to improve the design of an engine cooling fan using Design for Six Sigma Techniques.
Estimate and plot the cumulative hazard and survivor functions for different groups.
Find the empirical survivor functions and the parametric survivor functions using the Burr type XII distribution fit to data for two groups.
Convert survival data to counting process form and then construct a Cox proportional hazards model with time-dependent covariates.