2022
- - Gaussian Process Regression for FEA Designed Experiments - Building the Basics in R
- - Power Analysis for a DV Test - Frequentist and Bayesian Estimation in R
- - Learning from Failure - Nitinol Fracture Mechanics in R
2021
- - A Real World Use Case for a Bayesian Reliability Model - How to Incorporate FEA into Risk Estimates
- - Durability Testing of Stents Using Sensitivity-Based Methods in R
- - Trying to Trick Linear Regression - Estimating Coefficients for Variables in R
- - Could AutoML win in the 'Sliced' Data Science Competition? The answer may shock you!
- - Exploring Frequentist and Bayesian Tolerance Intervals in R
- - Tutorial - Design Study in Solidworks with Data Analysis in R
2020
- - Boundary Conditions and Anatomy - Correlated Data and Kernel Density Estimation in R
- - Simulation With a Random Effects Model - Gage R&R as a Case Study
- - Bayesian Stress-Strength Analysis for Product Design (in R and brms)
- - Survival Analysis - Fitting Weibull Models for Improving Device Reliability in R
2019
- - Creating and Using a Simple, Bayesian Linear Model (in brms and R)
- - Confounders and Colliders - Modeling Spurious Correlations in R
- - Heart Disease Prediction From Patient Data in R
- - Modeling Particulate Counts as a Poisson Process in R
- - Stopping Rules for Significance Testing in R
- - Assessing Design Verification Risk with Bayesian Estimation in R
- - Permutation Test for NHST of 2 Samples in R