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An Archival Analysis Of Stall Warning System Effectiveness During Airborne Icing Encounters, John Michael Maris
An Archival Analysis Of Stall Warning System Effectiveness During Airborne Icing Encounters, John Michael Maris
Doctoral Dissertations and Master's Theses
An archival study was conducted to determine the influence of stall warning system performance on aircrew decision-making outcomes during airborne icing encounters. A Conservative Icing Response Bias (CIRB) model was developed to explain the historical variability in aircrew performance in the face of airframe icing. The model combined Bayes’ Theorem with Signal Detection Theory (SDT) concepts to yield testable predictions that were evaluated using a Binary Logistic Regression (BLR) multivariate technique applied to two archives: the NASA Aviation Safety Reporting System (ASRS) incident database, and the National Transportation Safety Board (NTSB) accident databases, both covering the period January 1, 1988 …