Extension of pipe failure models to consider the absence ofdata from replaced pipes

Water Research

Volumn 47, Issue 11, 2013, Pages 3696-3705

  Scheidegger, Andreas ^a   Scholten, Lisa ^a   Maurer, Max ^a,b   Reichert, Peter ^a  

^a SWISS FEDERAL INSTITUTE OF AQUATIC SCIENCE AND TECHNOLOGY   (Switzerland)

^b ETH ZURICH   (Switzerland)

Author keywords

Bayesian inference; Likelihood; Pipe failure model; Replacement model; Survival selection bias

Indexed keywords

BAYESIAN NETWORKS; INFERENCE ENGINES; INFORMATION MANAGEMENT; MAXIMUM LIKELIHOOD ESTIMATION; WATER DISTRIBUTION SYSTEMS; WEIBULL DISTRIBUTION;

BAYESIAN INFERENCE; LIKELIHOOD; PIPE FAILURES; REPLACEMENT MODELS; SELECTION BIAS;

FAILURE (MECHANICAL);

CALIBRATION; DATA SET; MANAGEMENT PRACTICE; NUMERICAL MODEL; PIPE;

ARTICLE; BAYES THEOREM; DATA ANALYSIS; MONTE CARLO METHOD; PRIORITY JOURNAL; PROBABILITY; STATISTICAL MODEL; WATER SUPPLY;

EID: 84878153997     PISSN: 00431354     EISSN: 18792448     Source Type: Journal    
DOI: 10.1016/j.watres.2013.04.017     Document Type: Article

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