Brad Hartlaub joined the Kenyon faculty in 1990. He is a nonparametric statistician, and his research deals with rank-based tests for detecting interaction. He has published research articles on count or rank based statistical methods in the Journal of Nonparametric Statistics, The Canadian Journal of Statistics, and Environmental and Ecological Statistics. He has served as the Chief Reader of the AP Statistics Program and is an active member of the American Statistical Association's Section on Statistical Education. Brad was selected as a Fellow of the American Statistical Association in 2006. He has served the College as Chair of the Mathematics Department, Chair of the Division of Natural Sciences, a member of the Self Study Committee, and a member of the Committee on Academic Standards. He has received research grants to support his work with undergraduate students from the Andrew W. Mellon Foundation and the Council on Undergraduate Research. His current project is a collaborative effort with students and faculty members in the departments of biology and mathematics and deals with modeling metabolic rates for Manduca sexta.

Education

Ph.D. Ohio State University
M.S. Ohio State University
B.A. Millersville University

Selected Publications

Hartlaub, B. A. , Teacher's Solutions Manual for Yates, Moore and Starnes's The Practice of Statistics, Third Edition, W. H. Freeman and Company, New York (2008)

Multiple Regression (Chapter 28), The Basic Practice of Satistics, Fourth Edition, W. H. Freeman and Company, New York (2007)

Lehman, J. S., Wolfe, D. A., Dean, A. M., and Hartlaub, B. A. Rank-based Procedures for Analysis of Factorial Effects. In Recent Advances in Experimental Designs and Related Topics. Huntington, New York: Nova Science Publishers, (2001): 35-64.

Hartlaub, B. A., Dean, A. M., and Wolfe, D. A. Rank-Based Test Procedures for Interaction in the Two-Way Layout With One Observation Per Cell. The Canadian Journal of Statistics 27, no. 4 (1999): 863-874.

Hartlaub, B. A. and Wolfe, D. A. Distribution-Free Ranked Set Sample Procedures for Restricted Alternatives in the k-Sample Setting. Environmental and Ecological Statistics 6 (1999):105-118.