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

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• Bell, R. C., Jones-Farmer, L. A., Billor, N. and Maghsoodloo, S. (2012) “ A Distribution-Free Control Chart for Retrospective Location Analysis of Subgrouped Multivariate Data ", Technometrics, under revision.  

• Turkmen, A. and Billor, N. (2012) “Partial Least Squares Classification for High Dimensional Data Using the PCOUT Algorithm", Computational Statistics, accepted for publication.  

• Turkmen, A. and Billor, N. (2012) “Influence Function Analysis for the Robust Partial Least Squares (RoPLS) Estimator", Communications in Statistics: Theory and Methods, accepted for publication.  

• Sawant, P., Billor, N., and Shin, H. (2012) “Robust Functional Principal Component Analysis: Functional Outlier Detection", Computational Statistics, 27, 1, 83-102.  

• Liles, M. R., Turkmen, O., Manske, B. F., Zhang, M., Rouillard, J. M., Balser, T, Billor, N. and Goodman, R. M. (2010) “A phylogenetic microarray targeting 16S rRNA genes from the bacterial division Acidobacteria reveals a lineage-specific distribution in soil fractions", Soil Biology and Biochemistry, 42(5):739 – 747.  

• Mohamed, M. and Billor, N. (2009) “Recognition of Western Style Musical Genres Using Machine Learning Techniques", Expert Systems with Applications, 36, 11378 – 11389.

• Billor, N., Abebe, A., Turkmen, A., and Nudurupati, S.V. (2008) “ Classification Based on Depth Transvariations ", Journal of Classification 25, 249 – 260.

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

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

• NSF-Graduate Teaching Fellows in K-12 Education Program Title: GK-12 Alliance for Research  Experiences for Students (RES) in East-Central Alabama High Schools
  Role:  Senior personel

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Statistics for Engineers and Scientists (STAT3010)
Applied Regression Analysis (STAT4610)
Applied Regression Analysis (STAT7020)
Applied Multivariate Data Analysis (STAT7840)
SAS Programming (STAT5110/6110)

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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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