REGRESI KUADRAT TERKECIL PARSIAL MULTI RESPON UNTUK STATISTICAL DOWNSCALING (Multi Response Partial Least Square for Statistical Downscaling)
| Main Author: | Wigena, Aji Hamim; Departemen Statistika FMIPA – IPB |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
FORUM STATISTIKA DAN KOMPUTASI
, 2011
|
| Online Access: |
http://journal.ipb.ac.id/index.php/statistika/article/view/4917 http://journal.ipb.ac.id/index.php/statistika/article/view/4917/3349 |
| ctrlnum |
article-4917 |
|---|---|
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">REGRESI KUADRAT TERKECIL PARSIAL MULTI RESPON UNTUK STATISTICAL DOWNSCALING (Multi Response Partial Least Square for Statistical Downscaling)</title><creator>Wigena, Aji Hamim; Departemen Statistika FMIPA – IPB</creator><description lang="en-US">In  climatology  partial  least  square  regression  (PLSR)  can  be  used  as  an alternative  technique  in  statistical  downscaling  based  on  global  circulation model  (GCM)  output.  PLSR  is  the  technique  to  forecast  not  only  one  response but  also  multi  responses  to  accommodate  the  correlation  among  responses. PLSR is compared to PCR (Principal Component Regression). The results show that PLSR is better than PCR and can be used to forecast rainfall simultaneously in more than one rainfall stations relatively as well as in one station.  Keywords: statistical downscaling, PLSR, PCR, multi responses</description><publisher lang="en-US">FORUM STATISTIKA DAN KOMPUTASI</publisher><contributor lang="en-US"/><date>2011-10-01</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Journal:Article</type><type>File:application/pdf</type><identifier>http://journal.ipb.ac.id/index.php/statistika/article/view/4917</identifier><source lang="en-US">FORUM STATISTIKA DAN KOMPUTASI; Vol 16, No 2 (2011)</source><source>0853-8115</source><language>eng</language><relation>http://journal.ipb.ac.id/index.php/statistika/article/view/4917/3349</relation><recordID>article-4917</recordID></dc>
|
| language |
eng |
| format |
Journal:Article Journal Other:info:eu-repo/semantics/publishedVersion Other File:application/pdf File Journal:eJournal |
| author |
Wigena, Aji Hamim; Departemen Statistika FMIPA – IPB |
| title |
REGRESI KUADRAT TERKECIL PARSIAL MULTI RESPON UNTUK STATISTICAL DOWNSCALING (Multi Response Partial Least Square for Statistical Downscaling) |
| publisher |
FORUM STATISTIKA DAN KOMPUTASI |
| publishDate |
2011 |
| url |
http://journal.ipb.ac.id/index.php/statistika/article/view/4917 http://journal.ipb.ac.id/index.php/statistika/article/view/4917/3349 |
| contents |
In climatology partial least square regression (PLSR) can be used as an alternative technique in statistical downscaling based on global circulation model (GCM) output. PLSR is the technique to forecast not only one response but also multi responses to accommodate the correlation among responses. PLSR is compared to PCR (Principal Component Regression). The results show that PLSR is better than PCR and can be used to forecast rainfall simultaneously in more than one rainfall stations relatively as well as in one station. Keywords: statistical downscaling, PLSR, PCR, multi responses |
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IOS1014.article-4917 |
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Institut Pertanian Bogor |
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20 |
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library:university library |
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Perpustakaan Institut Pertanian Bogor |
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96 |
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FORUM STATISTIKA DAN KOMPUTASI |
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1014 |
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Matematika |
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BOGOR |
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JAWA BARAT |
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IOS1014 |
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2016-09-16T18:56:47Z |
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2016-09-22T21:32:21Z |
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