Forecasting, Time Series, and Regression: An Applied Approach offers a comprehensive exploration into modern forecasting techniques, time series analysis, and regression methods. Authored by Bruce L. Bowerman, Richard T. O'Connell, and Anne B. Koehler, this text combines theoretical rigor with practical applications to guide readers through complex statistical concepts in a clear and accessible manner. Structured to support both learning and application, the book provides a detailed exposition of quantitative methods essential for understanding and predicting trends in varied datasets. Its applied approach is designed to equip students and professionals with the robust analytical tools needed for effective decision-making in real-world scenarios. An accompanying CD-ROM enhances the learning experience by including datasets in multiple formats, such as ASCII, EXCEL, SAS, JMP, MINITAB, STATA, S-PLUS, and EVIEWS. This resource serves as a practical complement to the comprehensive content presented throughout the 728 pages of this paperback edition, published in 2005 by South-Western College.
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