Applied Statistics: Improving Business Processes (The Irwin Series in Statistics) - Tapa dura

This text focuses on improving business processes by using all the important statistical techniques needed to facilitate effective decision making. The text follows a traditional approach and topic organization that is appropriate for most introductory business statistics courses, but also incorporates a more modern approach that infuses quality and emphasizes process improvement throughout. The authors' highest priority is developing a text that offers clear and understandable explanations of concepts and providing case studies and examples that reflect real applications of statistics today.

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. OConnell, 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.