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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/100698


    题名: Preliminary Analysis of AASHO Road Test Rigid Pavement Data Using Modern Regression Techniques
    作者: Ker, Hsiang Wei;Lee, Ying Haur;Huang, T.C.;Ke Lin
    贡献者: 淡江大學土木工程學系
    关键词: AASHO Road Test;Linear Mixed-Effects Models;Modern Regression;Pavement Performance;Prediction Model;Present Serviceability Index;Rigid Pavements
    日期: 2013-08-01
    上传时间: 2015-03-10 15:07:15 (UTC+8)
    出版者: Pfaffikon: Scientific.Net
    摘要: 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.
    關聯: Advanced Materials Research 723, pp.869-876
    DOI: 10.4028/www.scientific.net/AMR.723.869
    显示于类别:[土木工程學系暨研究所] 期刊論文

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