Incorporating Machine Learning in Capture-Recapture Estimation of Survey Measurement Error

Incorporating Machine Learning in Capture-Recapture Estimation of Survey Measurement Error

Capture-recapture (CRC) is currently considered a promising method to use non-probability samples to estimate survey measurement error. In previous studies, we derived adjusted survey estimates using CRC by combining probability-based survey data (as the initial data source) and non-probability roa...

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Bibliographic Details
Main Authors: Maaike Walraad, Jonas Klingwort, Joep Burger
Format: Article
Language:English
Published: European Survey Research Association 2024-08-01
Series:Survey Research Methods
Subjects:
total survey error
survey underreporting
road freight transport survey
weigh-in-motion sensor data
administrative data
gradient boosting
Online Access:https://ojs.ub.uni-konstanz.de/srm/article/view/8307
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