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    Predicting Construction Cost Using Multiple Regression Techniques

    Source: Journal of Construction Engineering and Management:;2006:;Volume ( 132 ):;issue: 007
    Author:
    David J. Lowe
    ,
    Margaret W. Emsley
    ,
    Anthony Harding
    DOI: 10.1061/(ASCE)0733-9364(2006)132:7(750)
    Publisher: American Society of Civil Engineers
    Abstract: This paper describes the development of linear regression models to predict the construction cost of buildings, based on 286 sets of data collected in the United Kingdom. Raw cost is rejected as a suitable dependent variable and models are developed for
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      Predicting Construction Cost Using Multiple Regression Techniques

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    http://yetl.yabesh.ir/yetl1/handle/yetl/26009
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    contributor authorDavid J. Lowe
    contributor authorMargaret W. Emsley
    contributor authorAnthony Harding
    date accessioned2017-05-08T20:45:18Z
    date available2017-05-08T20:45:18Z
    date copyrightJuly 2006
    date issued2006
    identifier other%28asce%290733-9364%282006%29132%3A7%28750%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/26009
    description abstractThis paper describes the development of linear regression models to predict the construction cost of buildings, based on 286 sets of data collected in the United Kingdom. Raw cost is rejected as a suitable dependent variable and models are developed for
    publisherAmerican Society of Civil Engineers
    titlePredicting Construction Cost Using Multiple Regression Techniques
    typeJournal Paper
    journal volume132
    journal issue7
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)0733-9364(2006)132:7(750)
    treeJournal of Construction Engineering and Management:;2006:;Volume ( 132 ):;issue: 007
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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