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    Integrating Semiparametric and Parametric Models in Survival Analysis of Bridge Element Deterioration

    Source: Journal of Infrastructure Systems:;2013:;Volume ( 019 ):;issue: 002
    Author:
    Ying Nan Yang
    ,
    Mohan M. Kumaraswamy
    ,
    Hoat Joen Pam
    ,
    Hong Ming Xie
    DOI: 10.1061/(ASCE)IS.1943-555X.0000115
    Publisher: American Society of Civil Engineers
    Abstract: The central challenge in developing deterioration models for infrastructure facilities based on field data, is the right selection of base models along with the specific nature of the available condition data. A parametric model is extensively used in infrastructure deterioration modeling. However, the pre-assumed hazard shape of parametric models is questionable because of the lack of explanations of the underlying assumption. Cox proportional hazard models have the advantage that they make no advance assumption about the shape of the hazard function and support multivariate analysis; and are thus proposed to solve the problems stemming from the predefined distributions of the parametric models. However, the basic uncalibrated functions of Cox models can appear complex and inapplicable for maintenance management applications. Therefore, it is considered useful to incorporate both semi-parametric and parametric models in an integrated strategy for modeling survival data. The development of an integrated methodology to predict the distribution of durations between changes in condition states by incorporating both Cox regression analysis and parametric models for concrete bridge elements, is presented in this paper.
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      Integrating Semiparametric and Parametric Models in Survival Analysis of Bridge Element Deterioration

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    contributor authorYing Nan Yang
    contributor authorMohan M. Kumaraswamy
    contributor authorHoat Joen Pam
    contributor authorHong Ming Xie
    date accessioned2017-05-08T21:53:50Z
    date available2017-05-08T21:53:50Z
    date copyrightJune 2013
    date issued2013
    identifier other%28asce%29is%2E1943-555x%2E0000143.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/65703
    description abstractThe central challenge in developing deterioration models for infrastructure facilities based on field data, is the right selection of base models along with the specific nature of the available condition data. A parametric model is extensively used in infrastructure deterioration modeling. However, the pre-assumed hazard shape of parametric models is questionable because of the lack of explanations of the underlying assumption. Cox proportional hazard models have the advantage that they make no advance assumption about the shape of the hazard function and support multivariate analysis; and are thus proposed to solve the problems stemming from the predefined distributions of the parametric models. However, the basic uncalibrated functions of Cox models can appear complex and inapplicable for maintenance management applications. Therefore, it is considered useful to incorporate both semi-parametric and parametric models in an integrated strategy for modeling survival data. The development of an integrated methodology to predict the distribution of durations between changes in condition states by incorporating both Cox regression analysis and parametric models for concrete bridge elements, is presented in this paper.
    publisherAmerican Society of Civil Engineers
    titleIntegrating Semiparametric and Parametric Models in Survival Analysis of Bridge Element Deterioration
    typeJournal Paper
    journal volume19
    journal issue2
    journal titleJournal of Infrastructure Systems
    identifier doi10.1061/(ASCE)IS.1943-555X.0000115
    treeJournal of Infrastructure Systems:;2013:;Volume ( 019 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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