Multiple outliers detection: application to research & development spending and productivity growth
Multiple outliers are frequently encountered in applied studies in business and economics. Most of the practitioners depend on ordinary least squares (OLS) method for parameter estimation in regression analysis without identifying outliers properly. It is evident that OLS totally fails even in prese...
| Hauptverfasser: | , |
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| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
BRAC University
2010
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| Online Zugang: | http://hdl.handle.net/10361/421 |