Business Statistics and Analytics in Practice

About the Author

Bruce Bowerman

Bruce L. Bowerman is professor of decision sciences at Miami University in Oxford, Ohio. He received his Ph.D. degree in statistics from Iowa State University in 1974, and he has over 40 years of experience teaching basic statistics, regression analysis, time series 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 16 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. The fi rst edition of Forecasting and Time Series earned an Outstanding Academic Book award from Choice magazine. Professor Bowerman has also published a number 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.

Anne M. Drougas

Anne M. Drougas is a Professor of Finance and Quantitative Methods at Dominican University in River Forest, Illinois. Over the course of her academic career, she has received three teaching awards and has developed and taught online and hybrid business statistics and finance courses. Her research is primarily in the areas of corporate finance, simulation, and business analytics with publications in a number of journals including the Journal of Financial Education and Journal of Applied Business and Economics. She spends her spare time with her family and serving on the board of directors for Hephzibah House, a social service agency for children in Oak Park, Illinois.

William M. Duckworth

William M. Duckworth specializes in statistics education and business applications of statistics. His professional affiliations have included the American Statistical Association (ASA), the International Association for Statistical Education (IASE), and the Decision Sciences Institute (DSI). Dr. Duckworth was also a member of the Undergraduate Statistics Education Initiative (USEI), which developed curriculum guidelines for undergraduate programs in statistical science that were officially adopted by the ASA. Dr. Duckworth has published research papers, been an invited speaker at professional meetings, and taught company training workshops, in addition to providing consulting and expert witness services to a variety of companies. During his tenure in the Department of Statistics at Iowa State University, his main responsibility was coordinating, teaching, and improving introductory business statistics courses. Dr. Duckworth currently teaches business analytics to both undergraduate and graduate students in the Heider College of Business at Creighton University.

Lei Fan

Lei Fan is an Assistant Professor in the Accounting and Finance Department at the College of Saint Benedict and Saint John’s University, Collegeville, Minnesota. He received his Ph.D. in Management Science from the Illinois Institute of Technology, Chicago, Illinois. Specializing in both business analytics and finance, he has a distinguished track record of teaching courses in decision-making analytics, corporate finance, financial modeling, and predictive analytics. His dynamic approach integrates practical examples and case studies, making complex concepts accessible and engaging for students. In addition to his teaching, Dr. Fan’s research focuses on the interdependencies within cryptocurrency markets and their impact on equity markets, adding contemporary relevance to his courses.

Kyle B. Moninger

Patrick J. Schur

Patrick J. Schur is a Senior Clinical Professor in the Department of Information Systems and Analytics in the Farmer School of Business at Miami University in Oxford, Ohio. He received his master’s degree in statistics from Purdue University. He has been at Miami University for 11 years, teaching introductory statistics courses and advanced statistics courses including regression modeling, time series modeling, design of experiments, and statistical process control. Before joining Miami University, he worked at Procter & Gamble as a statistical consultant and also worked with multiple startup companies cutting across multiple industries.