Concerns About Maximum Likelihood Estimation for the Three-Parameter Weibull Distribution: Case Study of Statistical Software.
The writers examined 12 statistical packages for four real-world datasets including oil spill data from the Gulf of Mexico. The different methods utilized by the packages resulted in fairly major differences in the estimated parameters between the statistical packages. Some statistical packages did...
| Publicado en: | American Statistician Vol. 65; no. 1; pp. 44 - 55 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
American Statistical Association
February 2011
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| Materias: | |
| 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=508184845&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 508184845 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: February 2011 vid: 65 iid: 1 pid: 543 pub: American Statistical Association artinfo: ui: 508184845 10.1198/tast.2011.09103 ppf: 44 ppct: 11 formats: tig: atl: Concerns About Maximum Likelihood Estimation for the Three-Parameter Weibull Distribution: Case Study of Statistical Software. aug: au: Harper, William V. Eschenbach, Ted G. James, Thomas R. su: Application software Weibull distribution Maximum likelihood statistics sug: subj: Application software Weibull distribution Maximum likelihood statistics ab: The writers examined 12 statistical packages for four real-world datasets including oil spill data from the Gulf of Mexico. The different methods utilized by the packages resulted in fairly major differences in the estimated parameters between the statistical packages. Some statistical packages did not offer three-parameter Weibull estimation. Other software tried the approximation in some cases. A subset of the 12 packages was subsequently tested in detail based on an experimental design using pseudo-random Weibull datasets. The writers also discussed the most prevalent estimation method used, which was maximizing a profile log-likelihood function. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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