Bayesian geoadditive water pipe failure forecasting model by optimizingthe updating period
Municipal water managers rely on pipe deterioration models to plan maintenance, repair, and replacement. Although efforts have been made to increase their accuracy, these models are subject to uncertainties in the predictions. In this paper, an optimization procedure of the Bayesian updating period...
Main Authors: | Ngandu Balekelayi, Solomon Tesfamariam |
---|---|
Format: | Article |
Language: | English |
Published: |
IWA Publishing
2023-01-01
|
Series: | Journal of Hydroinformatics |
Subjects: | |
Online Access: | http://jhydro.iwaponline.com/content/25/1/1 |
Similar Items
-
A Bayesian Pipe Failure Prediction for Optimizing Pipe Renewal Time in Water Distribution Networks
by: Widyo Nugroho, et al.
Published: (2022-10-01) -
Bayesian joint spatial modelling of anemia and malaria in Guinea
by: Thierno Souleymane Barry, et al.
Published: (2023-01-01) -
Copula-based common cause failure models with Bayesian inferences
by: Kyungho Jin, et al.
Published: (2021-02-01) -
Child mortality inequalities across Rwanda districts: a geoadditive continuous-time survival analysis
by: François Niragire, et al.
Published: (2017-05-01) -
A log-binomial Bayesian geoadditive semiparametric analysis of geographical inequalities in caesarean births in Ghana
by: Fiifi Amoako Johnson
Published: (2023-11-01)