PENGENDALIAN KOEFISIEN REGRESI LEAST ABSOLUTE DEVIATION PADA RENTANG BERMAKNA MENGGUNAKAN PROGRAM LINIER

dc.contributorUniversitas Djuanda Bogor, Institut Pertanian Bogorid-ID
dc.creatorSetyono, Setyono; Universitas Djuanda Bogor
dc.creatorSoleh, Agus Mohamad; Institut Pertanian Bogor
dc.creatorRochman, Nur; Universitas Djuanda Bogor
dc.date2018-06-04
dc.date.accessioned2019-10-09T09:43:34Z
dc.date.available2019-10-09T09:43:34Z
dc.descriptionSo far, regression analysis is used to model the mean of response variable as a function of some independent variables, using the least squares (LS) method. In general, the LS method is able to describe well the measure of central tendency, however it is not robust against outliers. Therefore, in certain cases, a regression analysis that minimizes the sum of absolute residuals (least absolute deviation - LAD) is required, which is more robust against outliers. So far, the value of the regression coefficient is not modeled and only depends entirely on the data processed. In some cases, the sign and the value of regression coefficients need to be controlled, in order to be in the meaningful range. The results of this study showed that the modification of the constraints on the LAD regression able to control the regression coefficients to be in the meaningful range. The results of bootstrap showed that distribution of controlled regression coefficients were different from distribution of uncontrolled regression coefficients.id-ID
dc.formatapplication/pdf
dc.identifierhttp://ejurnal.litbang.pertanian.go.id/index.php/IP/article/view/8274
dc.identifier10.21082/ip.v27n1.2018.p25-34
dc.identifier.urihttp://124.81.126.59/handle/123456789/7917
dc.languageeng
dc.publisherSekretariat Badan Penelitian dan Pengembangan Pertanianen-US
dc.relationhttp://ejurnal.litbang.pertanian.go.id/index.php/IP/article/view/8274/8060
dc.rightsCopyright (c) 2018 Informatika Pertanianen-US
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0en-US
dc.sourceInformatika Pertanian; Vol 27, No 1 (2018): Juni 2018; 25-34en-US
dc.source2540-9875
dc.source0852-1743
dc.subjectlinear programming, absolute residual, constraints, LAD, median, regressionid-ID
dc.titlePENGENDALIAN KOEFISIEN REGRESI LEAST ABSOLUTE DEVIATION PADA RENTANG BERMAKNA MENGGUNAKAN PROGRAM LINIERid-ID
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Articleen-US
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