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Probability of Detection (POD) Software v4.5

pod-v4.5 logo

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 Hit Miss Analysis

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.

CONTACT

University of Dayton Research Institute


300 College Park
Dayton, Ohio 45469 - 0101
937-229-2113
Email