Nearly Nonparametric Multivariate Density Estimates that Incorporate Marginal Parametric Density Information.
A method for modeling multivariate data with fixed marginals that preserves a rich and flexible multivariate structure is presented. Nonparametric estimators that are almost equal to the MLE estimates for the marginal densities and remain close to the kernel nonparametric density estimates for the...
| Publicado en: | American Statistician Vol. 57; no. 3; pp. 183 - 189 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
American Statistical Association
August 2003
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=507845105&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507845105 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00031305 STT jtl: American Statistician issn: 00031305 maglogo: N pubinfo: dt: August 2003 vid: 57 iid: 3 pid: 543 pub: American Statistical Association artinfo: ui: 507845105 10.1198/0003130031955 ppf: 183 ppct: 6 formats: tig: atl: Nearly Nonparametric Multivariate Density Estimates that Incorporate Marginal Parametric Density Information. aug: au: Spiegelman, Clifford Park, Eun Sug su: Density functionals Multivariate analysis Test validity sug: subj: Density functionals Multivariate analysis Test validity ab: A method for modeling multivariate data with fixed marginals that preserves a rich and flexible multivariate structure is presented. Nonparametric estimators that are almost equal to the MLE estimates for the marginal densities and remain close to the kernel nonparametric density estimates for the joint density estimates, given that the assumption concerning the marginal densities is correct, are demonstrated. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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