Iterative proportional fitting for nonhierarchical log-linear models
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Sung-Ho | ko |
| dc.date.accessioned | 2013-02-27T16:55:06Z | - |
| dc.date.available | 2013-02-27T16:55:06Z | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.issued | 1997 | - |
| dc.identifier.citation | COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, v.26, no.6, pp.1443 - 1460 | - |
| dc.identifier.issn | 0361-0926 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/69701 | - |
| dc.description.abstract | The iterative proportional fitting (IPF) algorithm is simple to use for fitting hierarchical log-linear models of any size whether their maximum likelihood estimates are given in a closed form or not. This paper shows that the algorithm can be extended toward a class of nonhierarchical log-linear models. | - |
| dc.language | English | - |
| dc.publisher | MARCEL DEKKER INC | - |
| dc.subject | CONTINGENCY-TABLES | - |
| dc.title | Iterative proportional fitting for nonhierarchical log-linear models | - |
| dc.type | Article | - |
| dc.identifier.wosid | A1997XC91200010 | - |
| dc.identifier.scopusid | 2-s2.0-0347705777 | - |
| dc.type.rims | ART | - |
| dc.citation.volume | 26 | - |
| dc.citation.issue | 6 | - |
| dc.citation.beginningpage | 1443 | - |
| dc.citation.endingpage | 1460 | - |
| dc.citation.publicationname | COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | - |
| dc.contributor.localauthor | Kim, Sung-Ho | - |
| dc.type.journalArticle | Article | - |
| dc.subject.keywordAuthor | maximum likelihood estimation | - |
| dc.subject.keywordAuthor | probability dependence structure | - |
| dc.subject.keywordAuthor | hierarchical log-linear model | - |
| dc.subject.keywordAuthor | generating class | - |
| dc.subject.keywordAuthor | probability influence diagram | - |
| dc.subject.keywordPlus | CONTINGENCY-TABLES | - |
- Appears in Collection
- MA-Journal Papers(저널논문)
- Files in This Item
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.