| Автор | CHALONER, KATHRYN |
| Автор | BRANT, ROLLIN |
| Дата выпуска | 1988 |
| dc.description | An approach to detecting outliers in a linear model is developed. An outlier is defined to be an observation with a large random error, generated by the linear model under consideration. Outliers are detected by examining the posterior distribution of the random errors. An augmented residual plot is also suggested as a graphical aid in finding outliers. |
| Формат | application.pdf |
| Издатель | Oxford University Press |
| Копирайт | © 1988 Biometrika Trust |
| Тема | Leverage |
| Тема | Linear model |
| Тема | Posterior distribution |
| Тема | Residual plot |
| Тема | Articles |
| Название | A Bayesian approach to outlier detection and residual analysis |
| Тип | research-article |
| Electronic ISSN | 1464-3510 |
| Print ISSN | 0006-3444 |
| Журнал | Biometrika |
| Том | 75 |
| Первая страница | 651 |
| Последняя страница | 659 |
| Аффилиация | CHALONER KATHRYN; Department of Applied Statistics, University of Minnesota |
| Аффилиация | BRANT ROLLIN; Department of Preventive Medicine and Biostatistics, University of Toronto |
| Выпуск | 4 |
