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RIDGE-MM SEBAGAI SALAH SATU METODE REGRESI RIDGE YANG ROBUST TERHADAP DATA PENCILAN

JURNAL ISTEK · Vol. 10 No. 1 (2017)

Published
2017-05-02
Publisher
JURNAL ISTEK
Language
eng

Abstract

In regression analysis, least squares method used adjuster, which is used to estimate the regression parameters, contains a lot of weaknesses, if there is data in the multikolinieritas especially coupled with the outliers. To overcome these weaknesses ridge-MMregression method is used. Ridge-MM regression method is a modification of the ridge regression method is based on the MM-estimator.

Keywords

Collaboration network of the authors

18 authors · 31 co-authorship links

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  • Universitas Gadjah Mada
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Obin RachmawanAffiliation unknown3
Kelik PutrantoAffiliation unknown2
Andi MushawwirAffiliation unknown1
Ronnie PermanaAffiliation unknown1
Setia MulyawanAffiliation unknown1
Cepy SlametAffiliation unknown1
Liberty ChaidirAffiliation unknown1
Epi Epi EpiAffiliation unknown1
Eka WulandariUniversitas Gadjah Mada1
Ahmad FaisalAffiliation unknown1
Ahmad Tafik TaofikAffiliation unknown1
Riana Pradina EmbarsariAffiliation unknown1
Budy Frasetya Taufik QurrohmanAffiliation unknown1
Budy FrasetyaAffiliation unknown1
Riki K. FirdausAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.uinsgd.ac.id/index.php/istek/oai, first harvested 7 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">RIDGE-MM SEBAGAI SALAH SATU METODE REGRESI RIDGE YANG ROBUST TERHADAP DATA PENCILAN</dc:title>
	<dc:creator>Sudartianto, Sudartianto</dc:creator>
	<dc:creator>Suwarno, Nono</dc:creator>
	<dc:creator>Taofik, Ahmad</dc:creator>
	<dc:subject xml:lang="en-US">Multicollinearitas</dc:subject>
	<dc:subject xml:lang="en-US">outliers</dc:subject>
	<dc:subject xml:lang="en-US">ridge regression</dc:subject>
	<dc:subject xml:lang="en-US">robust regression</dc:subject>
	<dc:description xml:lang="en-US">In regression analysis, least squares method used adjuster, which is used to
estimate the regression parameters, contains a lot of weaknesses, if there is data in the multikolinieritas especially coupled with the outliers. To overcome these weaknesses ridge-MMregression method is used. Ridge-MM regression method is a modification of the ridge regression method is based on the MM-estimator.</dc:description>
	<dc:publisher xml:lang="en-US">JURNAL ISTEK</dc:publisher>
	<dc:date>2017-05-02</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.uinsgd.ac.id/index.php/istek/article/view/1455</dc:identifier>
	<dc:source xml:lang="en-US">JURNAL ISTEK; Vol. 10 No. 1 (2017): ISTEK</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.uinsgd.ac.id/index.php/istek/article/view/1455/1018</dc:relation>
</oai_dc:dc>