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https://olympias.lib.uoi.gr/jspui/handle/123456789/13450Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Pardo, J. A. | en |
| dc.contributor.author | Pardo, L. | en |
| dc.contributor.author | Pardo, M. C. | en |
| dc.contributor.author | Zografos, K. | en |
| dc.date.accessioned | 2015-11-24T17:27:48Z | - |
| dc.date.available | 2015-11-24T17:27:48Z | - |
| dc.identifier.issn | 0023-5954 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/13450 | - |
| dc.rights | Default Licence | - |
| dc.subject | canonical analysis | en |
| dc.subject | restricted minimum phi-divergence estimator | en |
| dc.subject | minimum phi-divergence statistic | en |
| dc.subject | simulation | en |
| dc.subject | power divergence | en |
| dc.subject | maximum-likelihood-estimation | en |
| dc.subject | minimum disparity estimation | en |
| dc.subject | loglinear models | en |
| dc.subject | robustness | en |
| dc.subject | efficiency | en |
| dc.subject | distributions | en |
| dc.subject | constraints | en |
| dc.subject | distance | en |
| dc.subject | terms | en |
| dc.title | An exploratory canonical analysis approach for multinomial populations based on the phi-divergence measure | en |
| heal.type | journalArticle | - |
| heal.type.en | Journal article | en |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.identifier.secondary | <Go to ISI>://000227723700009 | - |
| heal.language | en | - |
| heal.access | campus | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικών | el |
| heal.publicationDate | 2004 | - |
| heal.abstract | In this paper we consider an exploratory canonical analysis approach for multinomial population based on the phi-divergence measure. We define the restricted minimum phi-divergence estimator, which is seen to be a generalization of the restricted maximum likelihood estimator. This estimator is then used in phi-divergence goodness-of-fit statistics which is the basis of two new families of statistics for solving the problem of selecting the number of significant correlations as well as the appropriateness of the model. | en |
| heal.publisher | Institute of Information Theory and Automation of the ASCR | en |
| heal.journalName | Kybernetika | en |
| heal.journalType | peer reviewed | - |
| heal.fullTextAvailability | TRUE | - |
| Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΜΑΘ | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Zografos-2004-An exploratory canonical analysis.pdf | 300.98 kB | Adobe PDF | View/Open Request a copy |
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