Prediction of watermain failure frequencies using multiple and Poisson regression

Water Science and Technology: Water Supply

Volumn 9, Issue 1, 2009, Pages 9-19

  Asnaashari, A ^a   McBean, E A ^b   Shahrour, Isam ^c   Gharabaghi, B ^b  

^a SHAHID BEHESHTI UNIVERSITY   (Iran)

^b UNIVERSITY OF GUELPH   (Canada)

^c UNIV LILLE   (France)

Author keywords

Failure; Multiple regression; Poisson regression; Prediction; Statistical analysis; Watermain

Indexed keywords

COMPUTER SYSTEM RECOVERY; FORECASTING; POISSON DISTRIBUTION; STATISTICAL METHODS;

CORRELATION COEFFICIENT; FAILURE FREQUENCY; MULTIPLE REGRESSIONS; POISSON REGRESSION; POISSON REGRESSION MODELS; PREDICTION OF FAILURES; REGRESSION-BASED MODEL; WATERMAIN;

REGRESSION ANALYSIS;

ASBESTOS; CEMENT; IRON; POLYETHYLENE;

CORRELATION; MODEL VALIDATION; MULTIPLE REGRESSION; NUMERICAL MODEL; POISSON RATIO; PREDICTION; WATER MANAGEMENT; WATER SUPPLY;

ACCURACY; ARTICLE; IRAN; MATHEMATICAL ANALYSIS; MULTIPLE REGRESSION; POISSON DISTRIBUTION; PREDICTION; STATISTICAL MODEL; VALIDATION PROCESS; WATER MANAGEMENT;

ASIA; EURASIA; IRAN; KORDESTAN; MIDDLE EAST; SANANDAJ;

EID: 65449169211     PISSN: 16069749     EISSN: None     Source Type: Journal    
DOI: 10.2166/ws.2009.020     Document Type: Article

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