Deteksi Kesalahan Besar Dengan Kombinasi Tes Statistik Dan Evaluasi Besaran Redundansi

ABSTRAK Outlier detection based on residual analysis by tau test does not imply the actual situation. Sometimes, the actual number of measurements suffered from outliers is less than the detected number. In this research, tau test is conducted, along with evaluation of redundancy value, to figure ou...

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Main Author: Perpustakaan UGM, i-lib
Format: Article
Published: [Yogyakarta] : Pusat Antar Universitas (PAU) Studi Ekonomi UGM 2004
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author Perpustakaan UGM, i-lib
author_facet Perpustakaan UGM, i-lib
author_sort Perpustakaan UGM, i-lib
collection UGM
description ABSTRAK Outlier detection based on residual analysis by tau test does not imply the actual situation. Sometimes, the actual number of measurements suffered from outliers is less than the detected number. In this research, tau test is conducted, along with evaluation of redundancy value, to figure out the mutual influences between measurements. Evaluation is performed by determining redundancy values of measurements having been detected to suffer from outliers.Tthe investigation is conducted by : (1) simulating one outlier in the network and (2) simulating two outliers in the network. The results show that both in the network having one oulier and two outliers, tau test detect more outliers than the actual one. Based on the redundancy analysis, it is found that those measurements have high mutual influences, se that outlier detection by tau test only is not enough. By combining with redundancy analysis and tau values, the number and location of outliers can be determined more accurately. Keyworks: Tes statistik, redudansi, kesalahan besar
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publisher [Yogyakarta] : Pusat Antar Universitas (PAU) Studi Ekonomi UGM
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spelling oai:generic.eprints.org:215752014-06-18T00:27:55Z https://repository.ugm.ac.id/21575/ Deteksi Kesalahan Besar Dengan Kombinasi Tes Statistik Dan Evaluasi Besaran Redundansi Perpustakaan UGM, i-lib Jurnal i-lib UGM ABSTRAK Outlier detection based on residual analysis by tau test does not imply the actual situation. Sometimes, the actual number of measurements suffered from outliers is less than the detected number. In this research, tau test is conducted, along with evaluation of redundancy value, to figure out the mutual influences between measurements. Evaluation is performed by determining redundancy values of measurements having been detected to suffer from outliers.Tthe investigation is conducted by : (1) simulating one outlier in the network and (2) simulating two outliers in the network. The results show that both in the network having one oulier and two outliers, tau test detect more outliers than the actual one. Based on the redundancy analysis, it is found that those measurements have high mutual influences, se that outlier detection by tau test only is not enough. By combining with redundancy analysis and tau values, the number and location of outliers can be determined more accurately. Keyworks: Tes statistik, redudansi, kesalahan besar [Yogyakarta] : Pusat Antar Universitas (PAU) Studi Ekonomi UGM 2004 Article NonPeerReviewed Perpustakaan UGM, i-lib (2004) Deteksi Kesalahan Besar Dengan Kombinasi Tes Statistik Dan Evaluasi Besaran Redundansi. Jurnal i-lib UGM. http://i-lib.ugm.ac.id/jurnal/download.php?dataId=4441
spellingShingle Jurnal i-lib UGM
Perpustakaan UGM, i-lib
Deteksi Kesalahan Besar Dengan Kombinasi Tes Statistik Dan Evaluasi Besaran Redundansi
title Deteksi Kesalahan Besar Dengan Kombinasi Tes Statistik Dan Evaluasi Besaran Redundansi
title_full Deteksi Kesalahan Besar Dengan Kombinasi Tes Statistik Dan Evaluasi Besaran Redundansi
title_fullStr Deteksi Kesalahan Besar Dengan Kombinasi Tes Statistik Dan Evaluasi Besaran Redundansi
title_full_unstemmed Deteksi Kesalahan Besar Dengan Kombinasi Tes Statistik Dan Evaluasi Besaran Redundansi
title_short Deteksi Kesalahan Besar Dengan Kombinasi Tes Statistik Dan Evaluasi Besaran Redundansi
title_sort deteksi kesalahan besar dengan kombinasi tes statistik dan evaluasi besaran redundansi
topic Jurnal i-lib UGM
work_keys_str_mv AT perpustakaanugmilib deteksikesalahanbesardengankombinasitesstatistikdanevaluasibesaranredundansi