Simple and multiple linear regression for probability of detection

Christine E. Knott; Christine Schubert Kabban; John C. Aldrin

doi:10.1117/12.2660140

25 April 2023 Simple and multiple linear regression for probability of detection

Christine E. Knott, Christine Schubert Kabban, John C. Aldrin

Proceedings Volume 12491, 8th International Workshop on Reliability of NDT/NDE; 1249103 (2023) https://doi.org/10.1117/12.2660140
Event: SPIE Smart Structures + Nondestructive Evaluation, 2023, Long Beach, California, United States

Abstract

This paper is intended to show the methodology for extending Probability of Detection (POD) modeling for continuously-valued (â vs a) signal responses to allow for the addition of multiple factors beyond the simple flaw size model, along with higher-level interactions. The statistical methodology for correctly transforming these more complex linear models into probability of detection curves is provided, and the approach is illustrated with a motivating real-world POD study

Conference Presentation

Citation Download Citation

Christine E. Knott, Christine Schubert Kabban, and John C. Aldrin "Simple and multiple linear regression for probability of detection", Proc. SPIE 12491, 8th International Workshop on Reliability of NDT/NDE, 1249103 (25 April 2023); https://doi.org/10.1117/12.2660140

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