
Probability of Detection (POD) Software v4.5
UDRI's nondestructive evaluation engineering experts have been developing software for the the analysis of probability of detection (POD) data since the 1990s. Over the past three decades our POD analysis software has become a critical tool for both UDRI and our external customers that has generated countless POD estimates for engineers managing small- and large-scale POD studies and technicians performing individual inspections.
This latest version, developed in collaboration with the Air Force Research Laboratory (AFRL), introduces modern and validated statistical approaches to POD analysis.
New to POD v4.5
- New Logistic Regression Technique: Firth's Bias-Reduced
- New Confidence Interval Techniques: Modified Wald, Likelihood Ratio confidence interval, and Modified Likelihood Ratio Confidence Interval
- New Sampling Methods: Random and Ranked Set
- New Transformation Method: Box-Cox
Key Features
- Complete analysis by following the simple wizard style interface guide
- Import data quickly from multiple Excel files using Copy & Paste
- Preview all imported data before creating your analyses
- Export any chart to an image file
- Export both data and charts to Excel files to easily share with others
- Track multiple analyses in a single POD project file
- Provides both full analysis and quick analysis options
- Active feedback to guide adherence to statistical assumptions
- Perform hit/miss or signal response analysis
- New Confidence Interval Techniques: Modified Wald, Likelihood Ratio confidence interval, and Modified Likelihood Ratio Confidence Interval
- New Sampling Methods: Random and Ranked Set
- New Transformation Method: Box-Cox
POD Software Window Screenshots
A Hat vs. A Analysis
POD v4.5 includes 4 side charts to help understand and visualize crack size responses while performing POD analyses.
Hit Miss Analysis
POD v4.5 supports multiple combinations of confidence interval types, sampling types and POD models to improve analysis for more challenging data sets.