“Statistical Modeling of Environmental Conditions in Paint Creek"
Oct 11, 2011
A Presentation by Robert Kushler
Environmental conditions in Paint Creek, a tributary of the Clinton River in southeast Michigan, were monitored for several months in 2009 and 2010. Large amounts of data on water temperature and depth were captured and combined with environmental data from other sources. The statistical techniques that were used to analyze the data and develop a forecasting model will be illustrated.
Robert Kushler is an Associate Professor in the Department of Mathematics and Statistics at Oakland University. He has an M.A. in Statistics and a Ph.D. in Biostatistics, both from the University of Michigan. His research interests include development of new methodology for statistical modeling, computer experiments, and industrial applications of statistics. He has extensive consulting experience in the automotive industry, and also provides statistical consulting to students and faculty on campus at Oakland University. He is the current Treasurer of the Detroit Chapter.