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RESEARCH INTERESTS
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Outlier detection in regression and
multivariate data, Robust multivariate data analysis, Biased Estimation,
Robust Partial Least Squares, Functional Data Analysis
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SELECTED RECENT
PUBLICATIONS
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Hu,D., Mao, S., Billor, N., and Agrawal, P. (2013) “
Energy Efficiency and Estimation Error in Compressed Sensing
", Ad Hoc Networks, accepted for publication.
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Lee, S., Shin, H. and Billor, N. (2013) “ M-type Smoothing Spline
Estimation for Principal Functions
", Computational Statistics and Data Analysis, accepted for publication.
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Wittayanukorn, S., Westrick, S. C., Hansen, R. A., Billor, N., Braxton-Lloyd, K., Fox, B., and Garza, K. B.
(2013) “ Evaluation of Medication Therapy Management ", Journal of Managed Care Pharmacy, accepted for publication.
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Perez, J., Grimes, E., Goldstein, J., McComas, D., Valek, P., Angelopoulos, V., Billor, N. (2012) “ Evolution of CIR Storm on 22 July 2009 "
, Journal of Geophysical Research-Space Physics, 117, Article Number: A09221 DOI: 10.1029/2012JA017572.
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Turkmen, A. and Billor, N. (2012) “Partial Least Squares Classification for High Dimensional Data Using the PCOUT Algorithm", Computational Statistics,
(DOI) 10.1007/s00180-012-0328-y.
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Turkmen, A. and Billor, N. (2012) “Influence Function Analysis for the Robust Partial Least Squares (RoPLS) Estimator", Communications in Statistics: Theory and Methods,
(DOI)
10.1080/03610926.2011.620213.
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Sawant, P., Billor, N., and Shin, H. (2012) “Robust Functional Principal Component Analysis: Functional Outlier Detection", Computational Statistics,
27, 1, 83-102.
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GRANTS
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TEACHING
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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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CURRENT GRADUATE STUDENTS
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Pallavi Sawant (Ph.D.)
Melody Denhere (Ph.D.)
Kristin Lilly Seamon (Ph.D.)
Jasdeep Pannu (Ph.D.)
Qian Zhang (MPS)
Jessica Godwin (MS)
Xioli Hu (MPS)
Boyao Zhao (MPS)
Wei Sun (MPS)
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CONTACT
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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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