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...

Ful tanımlama

Detaylı Bibliyografya
Asıl Yazarlar: Nurunnabi, A. A. M., Naser, Mohammed
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: BRAC University 2010
Konular:
Influential observation
Masking
Outlier
Regression diagnostics
Swamping
Online Erişim:http://hdl.handle.net/10361/421

Internet

http://hdl.handle.net/10361/421

Benzer Materyaller