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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/100713

    Title: Preliminary Analysis of AASHO Road Test Rigid Pavement Data Using Linear Mixed-Effects Models
    Authors: Ker, H. W.;Huang, T. C.;Lee, Y. H.;K. Lin
    Contributors: 淡江大學土木工程學系
    Date: 2012
    Issue Date: 2015-03-11 09:35:24 (UTC+8)
    Publisher: American Society of Civil Engineers
    Abstract: Pavement performance data is a very common example of multilevel data. While analyzing this type of data using conventional regression techniques, the normality assumptions with random errors and constant variance were often violated. Because of its hierarchical data structure, multilevel data are often analyzed using Linear Mixed-Effects (LME) models. The exploratory analysis, statistical modeling, and the examination of model-fit of LME models are more complicated than those of standard multiple regressions. A systematic modeling approach using visual-graphical techniques and LME models was proposed and demonstrated using the original AASHO road test rigid pavement data. The proposed LME modeling process including selecting a preliminary mean structure, selecting a random structure, selecting a residual covariance structure, model reduction, and examining the model fit will be further discussed in this paper.
    Relation: Sustainable Transportation Systems – Plan, Design, Build, Manage, and Maintain: Proceedings, the 9th Asia Pacific Transportation Development Conference, pp.549-557
    Appears in Collections:[土木工程學系暨研究所] 專書之單篇

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