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    Error in Variables Parameter Estimation

    Source: Journal of Environmental Engineering:;1989:;Volume ( 115 ):;issue: 001
    Author:
    Charles N. Haas
    DOI: 10.1061/(ASCE)0733-9372(1989)115:1(259)
    Publisher: American Society of Civil Engineers
    Abstract: The application of the errors in variables method (EVM) to environmental engineering practice using, as an example, the determination of kinetic parameters from a laboratory biodegradability study is presented. Model parameters must often be estimated from field or laboratory observations to describe biological treatability studies, adsorption, and water quality modeling. Such models consist of one or more linear or nonlinear equations. Usually, a function of the observed variables is designated as the ``dependent.'' The model parameter values minimizing the sum of squares of deviations between the observed and predicted ``dependent'' variable is accepted as ``best.'' Even for linear models, this method is biased when the independent variables are measured with error. Forced linearization of instrinsically nonlinear models may produce biased point estimates or interval estimates of parameter. Nonlinear parameter estimation methods when some or all of the variables are measured with error, designated as EVM, recently have been developed and utilized in chemical engineering for the reduction of thermodynamic data.
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      Error in Variables Parameter Estimation

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    contributor authorCharles N. Haas
    date accessioned2017-05-08T21:03:10Z
    date available2017-05-08T21:03:10Z
    date copyrightFebruary 1989
    date issued1989
    identifier other%28asce%290733-9372%281989%29115%3A1%28259%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/36843
    description abstractThe application of the errors in variables method (EVM) to environmental engineering practice using, as an example, the determination of kinetic parameters from a laboratory biodegradability study is presented. Model parameters must often be estimated from field or laboratory observations to describe biological treatability studies, adsorption, and water quality modeling. Such models consist of one or more linear or nonlinear equations. Usually, a function of the observed variables is designated as the ``dependent.'' The model parameter values minimizing the sum of squares of deviations between the observed and predicted ``dependent'' variable is accepted as ``best.'' Even for linear models, this method is biased when the independent variables are measured with error. Forced linearization of instrinsically nonlinear models may produce biased point estimates or interval estimates of parameter. Nonlinear parameter estimation methods when some or all of the variables are measured with error, designated as EVM, recently have been developed and utilized in chemical engineering for the reduction of thermodynamic data.
    publisherAmerican Society of Civil Engineers
    titleError in Variables Parameter Estimation
    typeJournal Paper
    journal volume115
    journal issue1
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/(ASCE)0733-9372(1989)115:1(259)
    treeJournal of Environmental Engineering:;1989:;Volume ( 115 ):;issue: 001
    contenttypeFulltext
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