Outlier detection in regression and multivariate data, Robust multivariate data analysis, Biased Estimation, Robust Partial Least Squares

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• Billor, N., Abebe, A., Turkmen, A., and Nudurupati, S.V. (2008) “ Classification Based on Depth Transvariations ", Journal of Classification (in press).

• Billor, N. and Kiral, G. (2007) “Comparison of Multiple Outlier Detection Methods for Regression Data”, Communications in Statistics Simulation and Computation, 37, 3 (in press).

• Polyakova, O. and Billor, N. (2007) "Impact of deciduous tree species on litterfall quality, decomposition rates and nutrient circulation in pine stands ”, Forest Ecology and Management (in press).

• Caroni, C. and Billor, N. (2007) “ Robust Detection of Multiple Outliers in Grouped Multivariate Data ", Journal of Applied Statistics, 34, 10, 1241 - 1250.

• Pandey, S., Billor, N., and Turkmen, A. (2007) “The Effect of Outliers in Independent Component Analysis,” American Journal for Mathematical and Management Science (in press).

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• DRI (Dean's Research Inititatives) grant:
  Title: Outlier Identification by Robust Principal Component Analysis
  Research Team:
      Project coordinator: Nedret Billor
      Research assistant: Asuman Turkmen
  

• NSF-EPSCOR:(www.stat.auburn.edu/depth)
  Title: Classification Based on Data Depth Ordering
  Research Team:
      Project Coordinators: Asheber Abebe & Nedret Billor
      Research Assistants: Asuman Turkmen & Sai Nudurapati
  

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Statistics for Engineers and Scientists (STAT3010) (Spring 08)
Applied Multivariate Data Analysis (STAT7840) (Spring 08)

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Address:
Department of Mathematics and Statistics
Auburn University, 364C Parker Hall
Auburn, AL 36849-5168, USA

E-Mail:
billone@auburn.edu

Phone and Fax:
Office Phone: (334)-844-3619

Mathematics & Statistics Department Fax: (334)-844-6555
Mathematics & Statistics Department phone: (334) 844-4290

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