淡江大學機構典藏:Item 987654321/100698
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/100698


    Title: Preliminary Analysis of AASHO Road Test Rigid Pavement Data Using Modern Regression Techniques
    Authors: Ker, Hsiang Wei;Lee, Ying Haur;Huang, T.C.;Ke Lin
    Contributors: 淡江大學土木工程學系
    Keywords: AASHO Road Test;Linear Mixed-Effects Models;Modern Regression;Pavement Performance;Prediction Model;Present Serviceability Index;Rigid Pavements
    Date: 2013-08-01
    Issue Date: 2015-03-10 15:07:15 (UTC+8)
    Publisher: Pfaffikon: Scientific.Net
    Abstract: The normality assumptions with random errors and constant variance were often violated while analyzing multilevel pavement performance data using conventional regression techniques. 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 basic modeling approach includes: selecting a preliminary mean structure, selecting a random structure, selecting a residual covariance structure, model reduction, and examining the model fit. A goodness of fit plot indicates that the preliminary LME model provides better explanation to the data.
    Relation: Advanced Materials Research 723, pp.869-876
    DOI: 10.4028/www.scientific.net/AMR.723.869
    Appears in Collections:[Graduate Institute & Department of Civil Engineering] Journal Article

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