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Mitigating the Impacts of Measurement Error in the Quesst Mission Community Noise StudyBeginning in 2025, the NASA Quesst mission will conduct a series of community response tests involving flyovers of the X-59 aircraft at select localities across the United States. Several waves of a longitudinal survey will be administered over approximately one month of testing in order to capture perceptual responses to low-amplitude sonic booms, or “sonic thumps”. Simultaneously, noise exposure levels will be estimated by fusing model-based predictions with measurements taken from a sparse network of monitors in the region. As one of the aims of the study is to produce a dose-response curve, a regression model relating perceptual response to noise exposure levels, it is important to acknowledge the potential attenuation bias that results from measurement error in the estimated noise exposure levels. In this presentation we review and compare several methods for dealing with measurement error in generalized linear mixed models. The methods are demonstrated on simulated data and real data collected during past NASA risk reduction studies.
Document ID
20230010918
Acquisition Source
Langley Research Center
Document Type
Presentation
Authors
Nathan B Cruze
(Langley Research Center Hampton, Virginia, United States)
Kathryn M. Ballard
(Langley Research Center Hampton, Virginia, United States)
William J. Doebler
(Langley Research Center Hampton, Virginia, United States)
Aaron B. Vaughn
(Langley Research Center Hampton, Virginia, United States)
Date Acquired
July 26, 2023
Subject Category
Statistics and Probability
Acoustics
Meeting Information
Meeting: Joint Statistical Meetings (JSM2023)
Location: Toronto
Country: CA
Start Date: August 5, 2023
End Date: August 10, 2023
Sponsors: American Statistical Association
Funding Number(s)
WBS: 110076.02.07.06.12
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
measurement error
dose-response model
sonic boom
community noise
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