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dc.contributor.advisorSutarman, Sutarman
dc.contributor.advisorRamli, Marwan
dc.contributor.authorSebajang, Djakaria
dc.date.accessioned2022-12-09T10:00:24Z
dc.date.available2022-12-09T10:00:24Z
dc.date.issued2011
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/72228
dc.description.abstractThis thesis studies the determining of probability density of random function for functional data, logarithm density ide determined by Eigen value and Eigen Func- tion with the main component analysis. In this sense, density is defined as the ‘average of logarithm from the main component distribution density for certain dimension. The density approach is determined by using the Kernel method as determining the wide of tape from kernel function. Based on the estimation of small ball probability p(x\h)en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectRandom functionen_US
dc.subjectMain componenten_US
dc.subjectEigen valueen_US
dc.subjectEigen functionen_US
dc.subjectProbability densityen_US
dc.subjectSmall ball probabilityen_US
dc.titleModel Fungsi Kepadatan Peluang untuk Sebaran Fungsi Acaken_US
dc.typeThesisen_US
dc.identifier.nimNIM087021015
dc.identifier.nidnNIDN0026106305
dc.identifier.kodeprodiKODEPRODI44101#Matematika
dc.description.pages48 Halamanen_US
dc.description.typeTesis Magisteren_US


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