Forecasting, Time Series, and Regression (with CD-ROM). Dieser Artikel ist nicht verfügbar.Forecasting, Time Series, and Regression (with CD-ROM)

Awarded Outstanding Academic Book by CHOICE magazine in its first edition, FORECASTING, TIME SERIES, AND REGRESSION: AN APPLIED APPROACH illustrates the vital importance of forecasting and the various statistical techniques that can be used to produce them. With an emphasis on applications, this book provides both the conceptual development and practical motivation you need to effectively implement forecasts of your own. You'll understand why using forecasts to make intelligent decisions in marketing, finance, personnel management, production scheduling, process control, and strategic management is so vital.

Bruce L. Bowerman is a professor of decision sciences at Miami University in Oxford, Ohio. He received his Ph.D. in statistics from Iowa State University in 1974 and has over 32 years of experience teaching basic statistics, regression analysis, time series forecasting, 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 the Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Richard T. O¿Connell, Professor Bowerman has written ten textbooks. In addition to the earlier editions of this forecasting textbook, these textbooks include BUSINESS STATISTICS IN PRACTICE and LINEAR STATISTICAL MODELS: AN APPLIED APPROACH. The first edition of FORTECASTING 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.

Richard T. O¿Connell is an associate professor of decision sciences at Miami University in Oxford, Ohio. He has more than 27 years of experience teaching basic statistics, statistical quality control and process improvement, regression analysis, time series analysis, and design of experiments to both undergraduate and graduate business students. He also has extensive consulting experience and has taught workshops dealing with statistical quality 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 Business Administration. Together with Bruce L. Bowerman he has written ten textbooks. In addition to the earlier editions of this forecasting textbook, these textbooks include BUSINESS STATISTICS IN PRACTICE and LINEAR STATISTICAL MODELS: AN APPLIED APPROACH. Professor O¿Connell has published numerous articles in the area of innovative statistical education and statistical quality control. 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. 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.

Anne B. Koehler is a professor of decision sciences and the George and Mildred Panuska Professor of Business Administration at Miami University in Oxford, Ohio. She received a Ph.D. in mathematics in 1968 from Indiana University. Her interest in forecasting began with an internship at the J.M. Smucker Company in 1980. Professor Koehler began teaching statistics in 1975 and forecasting in 1990. She teaches courses in basic statistics, regression analysis, time series forecasting, and survey sampling. She is co-author of a paper in the JOURNAL OF THE AMERICAN STATISTICAL SOCIETY (1997) that presented a state space model for the Holt-Winters multiplicative model and provided that method with a sound statistical basis. Professor Koehler has numerous publications, many of which are on forecasting with seasonal models and exponential smoothing methods. She is an associate editor for the INTERNATIONAL JOURNAL OF FORECASTING, and for many years was the editor of the software reviews for that journal. She served on the Board of Directors of the International Institute of Forecasters for 10 years. She is also as associate editor for DECISION SCIENCES and has twice served on the Board of Directors of the Decision Sciences Institute.