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...

Bibliografiset tiedot
Päätekijät:	Nurunnabi, A. A. M., Naser, Mohammed
Aineistotyyppi:	Artikkeli
Kieli:	English
Julkaistu:	BRAC University 2010
Aiheet:	Influential observation Masking Outlier Regression diagnostics Swamping
Linkit:	http://hdl.handle.net/10361/421

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