Sewer Structural Condition Prediction Integrating Bayesian Model Averaging with Logistic Regression-Reference-Cited by-同舟云学术

Sewer Structural Condition Prediction Integrating Bayesian Model Averaging with Logistic Regression

Published:2018-06 Issue:3 Volume:32 Page:04018019
ISSN:0887-3828
Container-title:Journal of Performance of Constructed Facilities
language:en
Short-container-title:J. Perform. Constr. Facil.

Author:

Kabir Golam¹,Balek Ngandu Balekelay Celestin²,Tesfamariam Solomon³

Affiliation:

1. Assistant Professor, Dept. of Mechanical, Automotive, Materials Engineering, Univ. of Windsor, Windsor, ON, Canada N9B 3P4 (corresponding author).

2. Ph.D. Student, School of Engineering, Univ. of British Columbia, Kelowna, BC, Canada V1V 1V7.

3. Professor, School of Engineering, Univ. of British Columbia, Kelowna, BC, Canada V1V 1V7.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CF.1943-5509.0001162

Reference36 articles.

1. Bayesian Analysis of Binary and Polychotomous Response Data

2. An investigation of the factors influencing sewer structural deterioration

3. Ana E. (2009). “Sewer asset management-sewer structural deterioration modeling and multi-criteria decision making in sewer rehabilitation projects prioritization.” Ph.D. thesis Vrije Universiteit Brussel Brussels Belgium.

4. Assessment of Infrastructure Inspection Needs Using Logistic Models

5. Financial Outlay Modeling for a Local Sewer Rehabilitation Strategy

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