Parametric Modeling of Failure Time data

While non-parametric methods are great for comparing groups, what do you do when you need to make specific predictions? To answer questions like, "What is the expected life of this component under a certain stress level?", you need the power of parametric modeling.

This article takes you beyond basic survival analysis and into the world of predictive reliability modeling. Using a real-world dataset on ceramic ball bearings, this hands-on guide demonstrates how to build a parametric regression model to understand the relationship between stress and product life. You'll learn how to leverage these models to make quantitative predictions, a critical skill for any engineer or analyst focused on proactive reliability.