MENENTUKAN KOEFISIEN REGRESI EKSPONENSIAL DENGAN METODE KUADRAT TERKECIL SEDERHANA DAN METODE KUADRAT TERKECIL BERBOBOT

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dc.contributor.authorPahlevi, Riza
dc.contributor.authorAdnan, Arisman
dc.contributor.authorSugiarto, Sigit
dc.date.accessioned2013-07-12T04:34:59Z
dc.date.available2013-07-12T04:34:59Z
dc.date.issued2013-07-12
dc.description.abstractRelation between two variables x and y are not always linear, but also non-linear. Scatter diagram from non-linear relationship will show a pattern of data points that can be approximated by an exponential curve. The process of determining an exponential curve that best fits a data set called an exponential regression. In order to get the best an exponential regression curve was used a standard least square method with logarithm transformation. However, using this logarithm causes error change from error in the variable y to the error in the variable ln y. To overcome this problem, Glaister Internat. J. Math. Ed. Sci. Tech.. 38 (2007): 422-427 proposes a least square method that is based on applying a weighting in the standard least square method that is based on the error in the logarithm of a variable. This method is called a weighted least square method that we discuss in this article. By comparing these two methods in the case of an exponential data, the performance of the weighted least square method is better than that of the standard least square method.en_US
dc.description.sponsorshipAdnan, Arisman, Sugiarto, Sigiten_US
dc.identifier.otherRangga Dwijunanda Putra
dc.identifier.urihttp://repository.unri.ac.id:80/handle/123456789/4271
dc.language.isootheren_US
dc.subjectexponential regressionen_US
dc.subjectstandard least square methoden_US
dc.subjectweighted least square methoden_US
dc.titleMENENTUKAN KOEFISIEN REGRESI EKSPONENSIAL DENGAN METODE KUADRAT TERKECIL SEDERHANA DAN METODE KUADRAT TERKECIL BERBOBOTen_US
dc.typeOtheren_US

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