William Whitledge

In the acquisition and testing world, data analysts repeatedly encounter certain categories of data, such as time or distance until an event (e.g., failure, alert, detection), binary outcomes (e.g., success/failure, hit/miss), and survey responses. Analysts need tools that enable them to produce quality and timely analyses of the data they acquire during testing. This poster presents four web-based apps that can analyze these types of data. The apps are designed to assist analysts and researchers with simple repeatable analysis tasks, such as building summary tables and plots for reports or briefings....

In operational testing, survey administration is typically a manual, paper-driven process. We developed a web-based tool called Survey Testing Automation Tool (STAT), which integrates and automates survey construction, administration, and analysis procedures. STAT introduces a standardized approach to the construction of surveys and includes capabilities for survey management, survey planning, and form generation. Suggested Citation Finnegan, Gary M, Kelly Tran, Tara A McGovern, and William R Whitledge. Survey Testing Automation Tool (STAT)....

This tutorial demonstrates how to plot reliability functions parametrically in R using the output from any reliability modeling software. It provides code and sample plots of reliability and failure rate functions with confidence intervals for three different skewed probability distributions the exponential, the two-parameter Weibull, and the lognormal. These three distributions are the most common parametric models for reliability or survival analysis. This paper also provides mathematical background for the models and recommendations for when to use them....