Dr. Ryan’s research interests include Bayesian data analysis, design of experiments, and discrete data problems.  He worked three summers on statistical consulting problems from Los Alamos National Laboratory (LANL) in New Mexico.  His dissertation - “Engineering Applications of Bayesian Statistical Methods - was also based on research at LANL.

In responding to what professional achievement he is most proud of, Dr. Ryan states, “Publishing statistical research in the top journals is highly competitive.  It is not uncommon for a single paper to take years of research.  I like the balance in academics.  You get satisfaction from publishing, but at times, research is very humbling, i.e., your papers get rejected.  When publishing is rocky, you still get positive feedback from students.  I pride myself as being a productive researcher who puts students first.  I am always happy to drop research and help students with course content.”

Dr. Ryan worked as a manager at Information Resources Incorporated (IRI), a market research company headquartered in Chicago, Illinois. He tells his business students that clients pay big money for IRI statistical consulting and that master’s students in applied students are in demand.

His belief about teaching is that “it’s a calling.” Dr. Ryan adds that being a professor means working a 60 hour-a-week job during the 9-month academic year and working 40 hours a week in the summer.  “You do not become a professor to become rich.  You become a professor to give back to society through teaching and research.  It is also a more interesting job than most because of tenure academic freedom; you get to be your own boss and pick the research projects which interest you.”

Dr. Ryan recommends the book “Moneyball” to all business students because “it presents an argument on how major league baseball teams with lower payrolls can compete against those with higher payrolls.  We should all periodically evaluate personal or company procedures to maximize success given limited resources.”

EDUCATION

Ph.D. Statistics, Iowa State University, (Ames, Iowa), 2001

M.S. Statistics, Iowa State University, (Ames, Iowa), 1999

B.S. Chemistry and Mathematics, Millikin University, (Decatur, Illinois), 1996

ACADEMIC POSITIONS

Associate Professor, Department of Applied Statistics and Operations Research, Bowling Green State University, Bowling Green, Ohio, 2010-present.

Assistant Professor, Department of Applied Statistics and Operations Research, Bowling Green State University, Bowling Green, Ohio, 2006-2010.

NSF Postdoctoral Fellow, University of Illinois at Chicago, 2002-2003.

Lecturer, Northwestern University, Evanston, Illinois, 2001-2002.

Graduate Assistant, Iowa State University, Ames, Iowa, 1997-2001.

SELECTED PUBLICATIONS

Ryan, K.J. and Bulutoglu, D.A. (2010), “Minimum aberration fractional factorial designs with large N,” Technometrics, 52, 2, 250-255.

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Ryan, K.J. (2009), “Approximate confidence intervals for p when double sampling,” The American statistician, 63, 132-140.

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Miescke, K.J. and Ryan, K.J. (2006), “On the performance of Gupta’s subset selection rule,” JSPI, 136, 2004-2019.

Teaching Content