Bruce L. Bowerman Bruce L. Bowerman is emeritus profes- sor of decision sciences at Miami University in Oxford, Ohio. He re- ceived his Ph.D. degree in statis- tics from Iowa State University in 1974, and he has over 40 years of experience teaching basic statis- tics, regression analysis, time se- ries forecasting, survey sampling, and design of experiments to both undergraduate and graduate students. In 1987 Professor Bowerman received an Outstanding Teaching award from the Miami University senior class, and in 1992 he received an Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Richard T. O’Connell, Professor Bowerman has written 19 text- books. These include Forecasting and Time Series: An Applied Approach; Forecasting, Time Series, and Regres- sion: An Applied Approach (also coauthored with Anne B. Koehler); and Linear Statistical Models: An Applied Approach. The first edition of Forecasting and Time Series earned an Outstanding Academic Book award from Choice magazine. Professor Bowerman has also published a num- ber of articles in applied stochastic processes, time series forecasting, and statistical education. In his spare time, Professor Bowerman enjoys watching movies and sports, playing tennis, and designing houses. Richard T. O’Connell Richard T. O’Connell is emeritus professor of decision sciences at Miami University in Oxford, Ohio. He has more than 35 years of experience teaching basic statistics, statistical quality control and process im- provement, regression analysis, time series forecasting, and design of experiments to both undergrad- uate and graduate business students. He also has extensive consulting experience and has taught workshops dealing with statistical process control and process improvement for a variety of companies in the Midwest. In 2000 Professor O’Connell received an Effective Educator award from the Richard T. Farmer School of Busi- ness Administration. Together with Bruce L. Bowerman, he has written 19 textbooks. These include Forecasting and Time Series: An Applied Approach; Forecasting, Time Series, and Regression: An Applied Approach (also coauthored with Anne B. Koehler); and Linear Statistical Models: An Applied Approach. Professor O’Connell has published a number of articles in the area of innovative sta- tistical education. He is one of the first college instructors in the United States to integrate statistical process control and process improvement methodology into his basic business statistics course. He (with Professor Bowerman) has written several articles advocating this approach. He has also given presentations on this subject at meetings such as the Joint Statistical Meetings of the American Statistical Association and the Workshop on Total Quality Management: Develop- ing Curricula and Research Agendas (sponsored by the Pro- duction and Operations Management Society). Professor O’Connell received an M.S. degree in decision sciences from Northwestern University in 1973, and he is currently a member of both the Decision Sciences Institute and the American Statistical Association. In his spare time, Profes- sor O’Connell enjoys fishing, collecting 1950s and 1960s rock music, and following the Green Bay Packers and Pur- due University sports. Emily S. Murphree Emily S. Murphree is Associate Professor of Statistics in the Department of Mathematics and Statistics at Miami University in Oxford, Ohio. She received her Ph.D. degree in statistics from the University of North Carolina and does research in applied probability. Professor Murphree received Miami’s College of Arts and Science Distinguished Educator Award in 1998. In 1996, she was named one of Oxford’s Citizens of the Year for her work with Habitat for Humanity and for organizing annual Sonia Kovalevsky Mathematical Sciences Days for area high school girls. In 2012 she was recognized as “A Teacher Who Made a Difference” by the University of Kentucky.