Multiple outliers detection: application to research & development spending and productivity growth

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...

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Dettagli Bibliografici
Autori principali:	Nurunnabi, A. A. M., Naser, Mohammed
Natura:	Articolo
Lingua:	English
Pubblicazione:	BRAC University 2010
Soggetti:	Influential observation Masking Outlier Regression diagnostics Swamping
Accesso online:	http://hdl.handle.net/10361/421

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