A New Measure of Leverage Cells in Multinomial Loglinear Models
| dc.contributor.author | Martín Apaolaza, Níriam | |
| dc.contributor.author | Pardo Llorente, Leandro | |
| dc.date.accessioned | 2023-06-20T00:20:39Z | |
| dc.date.available | 2023-06-20T00:20:39Z | |
| dc.date.issued | 2010-02 | |
| dc.description | 12th International Symposium on Applied Stochastic Models and Data Analysis.Chania,GREECE. MAY 29-JUN 01, 2007 | |
| dc.description.abstract | In this article, a family of measures for detecting leverage cells in multinomial loglinear models based on Renyi's divergence measures is presented and its properties are studied. An example illustrates its behavior. | |
| dc.description.department | Depto. de Estadística e Investigación Operativa | |
| dc.description.faculty | Fac. de Ciencias Matemáticas | |
| dc.description.refereed | TRUE | |
| dc.description.status | pub | |
| dc.eprint.id | https://eprints.ucm.es/id/eprint/17371 | |
| dc.identifier.doi | 10.1080/03610920903139991 | |
| dc.identifier.issn | 0361-0926 | |
| dc.identifier.officialurl | http://web.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=4&hid=104&sid=2c9d322c-bca7-4818-897e-0c1d84c81ba2%40sessionmgr110 | |
| dc.identifier.relatedurl | http://www.tandfonline.com/toc/lsta20/current | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14352/42428 | |
| dc.issue.number | 3 | |
| dc.journal.title | Communications in statistics. Theory and methods | |
| dc.language.iso | eng | |
| dc.page.final | 530 | |
| dc.page.initial | 517 | |
| dc.publisher | Taylor & Francis | |
| dc.rights.accessRights | restricted access | |
| dc.subject.cdu | 519.237 | |
| dc.subject.keyword | Hat matrix | |
| dc.subject.keyword | Leverage points | |
| dc.subject.keyword | Multinomial loglinear models | |
| dc.subject.keyword | Renyi's divergence measure | |
| dc.subject.keyword | Symmetry model | |
| dc.subject.ucm | Estadística aplicada | |
| dc.title | A New Measure of Leverage Cells in Multinomial Loglinear Models | |
| dc.type | journal article | |
| dc.volume.number | 39 | |
| dcterms.references | Agresti, A. (2002). Categorical Data Analysis. 2nd ed. New York: John Wiley & Sons. Andersen, E. B. (1992). Diagnosis in categorical data analysis. Journal of the Royal Statistical Society Series B 54:781–791. Belsley, D. A., Kuh, E., Welsh, R. E. (2004). Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. 2nd ed. New York: John Wiley & Sons. Cressie, N., Pardo, L. (2000). Minimum Phi-divergence estimator and hierarchical testing in loglinear models. Statistica Sinica 10:867–884. Cressie, N., Pardo, L. (2002). Phi-divergence statistics. In: ElShaarawi, A. H., Piegorich, W. W., eds. Encyclopedia of Environmetrics. Vol. 3. New York: John Wiley & Sons, pp. 1551–1555. Cressie, N., Pardo, L., Pardo, M. C. (2003). Size and power considerations for testing loglinear models using Phi-divergence test statistics. Statistica Sinica 13:550–570. Gupta, K., Nguyen T., Pardo L. (2007). On Christensen’s conjecture. Statistical Papers 48:313–319. Kateri, M., Agresti, A. (2007). A class of ordinal quasi-symmetry models for square contingency tables. Statistics & Probability Letters 77:313–316. Pardo, L. (2006). Statistical Inference Based on Divergence Measures. New York: Chapman & Hall/CRC. Rao, C. R., Toutenburg, H. (1999). Linear Models: Least Squares and Alternatives. 2nd ed. New York: Springer. | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | a6409cba-03ce-4c3b-af08-e673b7b2bf58 | |
| relation.isAuthorOfPublication.latestForDiscovery | a6409cba-03ce-4c3b-af08-e673b7b2bf58 |
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