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Forecasting, Principles, and Application (w/disk),Used
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This text provides a modern comprehensive survey of the principles and applications of forecasting methods in the world of commerce, public and private. The text includes all necessary theory for a rigorous statistics approach, but all basic content is presented in an intuitive style supported with applications drawn from a wide variety of real sources. The text is appropriate for advanced undergraduate or graduate courses in Business, Economics, or Engineering, as well as time series or regression/forecasting in statistics departments where an applicationsoriented approach is desired. Coverage ranges from a review of basic statistics, to thorough discussions of basic methods such as smoothing, trend, and regression, up to advanced techniques such as ARIMA, MARIMA, Neural Networks, Econometrics, and Intervention Analysis. Modern Data Analytic techniques are included. Over 300 time series data sets are included on disk and continuing minicases help student understanding, short interest boxes are included for motivation, and each chapter includes a thorough collection of problems for assignment.
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- Q: What is the main focus of 'Forecasting, Principles, and Application'? A: The book provides a comprehensive survey of forecasting methods and their applications in commerce, public and private sectors, covering both basic and advanced statistical techniques.
- Q: Who is the author of this textbook? A: The author of 'Forecasting, Principles, and Application' is Stephen A. Delurgio.
- Q: What topics are covered in this book? A: The book covers a range of topics from basic statistics, smoothing, trend analysis, and regression to advanced techniques like ARIMA, Neural Networks, and Econometrics.
- Q: Is this book suitable for beginners? A: While the book presents basic content intuitively, it is more appropriate for advanced undergraduate or graduate courses in Business, Economics, or Engineering.
- Q: Does the book include practical applications? A: Yes, the text includes applications drawn from real sources, over 300 time series data sets on disk, and 'interest' boxes for motivation.
- Q: What is the condition of the book listed? A: The item condition of the book is listed as 'Acceptable'.
- Q: What type of binding does this book have? A: The book is bound in hardcover.
- Q: When was this textbook published? A: The book was published on July 1, 1997.
- Q: What edition is this textbook? A: This is the 'Book and Disk' edition.
- Q: How many pages does the book contain? A: The book contains a total of 992 pages.