A Bayesian approach for improved pavement performance prediction

We present a method for predicting future pavement distresses such as longitudinal cracking. These predicted distress values are used to plan road repairs. Large inherent variability in measured cracking and an extremely small number of observations are the nature of the pavement cracking data, whic...

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Veröffentlicht in:	Journal of applied statistics 2008-11, Vol.35 (11), p.1219-1238
Hauptverfasser:	Park, Eun Sug, Smith, Roger E., Freeman, Thomas J., Spiegelman, Clifford H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian adjustment Bayesian analysis Concrete pavements Cracks Kalman filtering Kalman filters Markov chain Monte Carlo pavement management information system state-space models
Online-Zugang:	Volltext
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