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Quantile plots in the analysis of hetereoscedastic models
| dc.contributor.author | Pepió Viñals, Montserrat |
| dc.contributor.author | Polo Miranda, Carlos |
| dc.date.accessioned | 2008-03-11T19:43:06Z |
| dc.date.available | 2008-03-11T19:43:06Z |
| dc.date.issued | 1992 |
| dc.identifier.citation | Pepió Viñals, Montserrat; Polo Miranda, Carlos. "Quantile plots in the analysis of hetereoscedastic models". Qüestiió. 1992, vol.16, núm.1-3 |
| dc.identifier.issn | 0210-8054 (versió paper) |
| dc.identifier.uri | http://hdl.handle.net/2099/4589 |
| dc.description.abstract | Recent developments in quality engineering methods have led to considerable interest in the analysis of variance, buiding a dispersion model, identifying important effects from replicated experiments and checking for significance by means of a half-normal plot. A methodology based on a chi-squared quantile plot is presented here for checking first the presence of heteroscedasticity, outliers and other data peculiarities, and after the estimation stage a new stepwise procedure tests for significant effects. |
| dc.format.extent | 12 p. |
| dc.language.iso | eng |
| dc.publisher | Institut d'estadística de Catalunya |
| dc.rights | Attribution-NonCommercial-NoDerivs 2.5 Spain |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/es/ |
| dc.subject.lcsh | Inference |
| dc.subject.other | Chi-squared plot |
| dc.subject.other | Dispersion model |
| dc.subject.other | Stepwise test |
| dc.title | Quantile plots in the analysis of hetereoscedastic models |
| dc.title.alternative | Gráficos de cuantiles en el análisis de modelos heteroscedásticos |
| dc.type | Article |
| dc.subject.lemac | Inferència |
| dc.subject.ams | Classificació AMS::62 Statistics::62J Linear inference, regression |
| dc.rights.access | Open Access |
| local.identifier.drac | 752945 |
| local.ordre | 9 |
| local.personalitzacitacio | true |
