The Error Performances of Some Residual Optimization Methods

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dc.contributor Institut Pertanian Bogor, dosen Agroteknologi UNIDA, Dosen Statistika IPB, Badan Penelitian dan Pengembangan Pertanian en-US
dc.creator -, Setyono -; Mahasiswa S3 Statistika IPB
dc.date 2016-12-26
dc.date.accessioned 2019-10-09T09:43:34Z
dc.date.available 2019-10-09T09:43:34Z
dc.identifier http://ejurnal.litbang.pertanian.go.id/index.php/IP/article/view/4748
dc.identifier 10.21082/ip.v24n2.2015.p191-204
dc.identifier.uri http://124.81.126.59/handle/123456789/7911
dc.description A good statistic is unbiased and efficient. Because the encountered data in practice is a sample data with a certain size, the required statistic is not unbiased statistic, but statistic that has small error. When the encountered data is only a sample data, then that can be done is not error optimization but is residual optimization. This study aims to examine the error performance of three methods of residual optimization, they are by minimizing the maximum of absolute residual (MLAD), by minimizing the sum of absolute residual (LAD), and by minimizing the sum of squared residual (LS). Research results using simulation experiments showed that if the data have uniform distribution, the residual optimization method by minimizing maximum of absolute residual get the smallest error. Meanwhile, residual optimization method by minimizing the sum of squared residual get the smallest error when the data have normal or exponential distribution. This property is true when statistics to be estimated are measure of central tendency, regression coefficients, and the response of regression. en-US
dc.format application/pdf
dc.language eng
dc.publisher Sekretariat Badan Penelitian dan Pengembangan Pertanian en-US
dc.relation http://ejurnal.litbang.pertanian.go.id/index.php/IP/article/view/4748/4015
dc.rights Copyright (c) 2016 Informatika Pertanian en-US
dc.rights http://creativecommons.org/licenses/by-nc-sa/4.0 en-US
dc.source Informatika Pertanian; Vol 24, No 2 (2015): Desember 2015; 191-204 en-US
dc.source 2540-9875
dc.source 0852-1743
dc.subject error, LAD, MLAD, residual optimization, regression, absolute residual en-US
dc.title The Error Performances of Some Residual Optimization Methods en-US
dc.type info:eu-repo/semantics/article
dc.type info:eu-repo/semantics/publishedVersion
dc.type Peer-reviewed Article en-US


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