Principles of Forecasting: A Handbook for Researchers and Practitioners (International Series in Operations Research & Management Science)
| Author | : | |
| Rating | : | 4.87 (741 Votes) |
| Asin | : | 0792374010 |
| Format Type | : | paperback |
| Number of Pages | : | 850 Pages |
| Publish Date | : | 2017-02-13 |
| Language | : | English |
DESCRIPTION:
In each area, the authors identify what is known in the form of `if-then principles', and they summarize evidence on these principles. The project, developed over a four-year period, represents the first book to summarize all that is known about forecasting and to present it so that it can be used by researchers and practitioners. Quantitative methods include econometric methods, expert systems, and extrapolation. Principles of Forecasting: A Handbook for Researchers andPractitioners summarizes knowledge from experts and from empirical studies. There are judgmental methods such as Delphi, role-playing, and intentions studies. The book is edited by Professor J. It applies to problems such as those in finance (How much is this company worth?), marketing (Will a new product be successful?), personnel (How can we identify the best job candidates?), and production (What level of inventories should be kept?). It provides guidelines that can be applied in fields such as economics, sociology, and psychology. In addition, external reviews were provided by more than 120 experts, some of whom reviewed many of the papers. Some methods, such as conjoint analysis, analogies, and r
He has been centrally involved in the development of the subject for more than two decades. The book has earned its place as the bible for forecasters and is a "must have" in every forecaster's library.'Journal of Marketing Research, XXXIX (2003). It will be a welcome addition to any applied research library, and it should be kept near at hand by any statistician.'Journal of the Royal Statistical Society, Series D, The Statistician(forthcoming in 2003) (For the complete review, please check: forecastingprinciples) ` Armstrong's bo
"Forecasting - Academic and Professional" according to James C. Owen. Probably the latest and greatest in a long series of excellent forecasting reference manuals. Only Spiros Makridakis can eaual Armstrong for reference manuals.. Very good textbook about forecasting. The book is a collection of articles, in which Very good textbook about forecasting. Matt Mayevsky The book is a collection of articles, in which 40 leading experts takes up the challenge of detailed identification principles of forecasting.Clear and logical structure, synthetic approach to the subject and the practical knowledge make manual powininen be compulsory volume in the library of every self-respecting forecaster. And not just those who deal with short-term forecasting.This textbook is a mine of practical knowledge for studetnó. 0 leading experts takes up the challenge of detailed identification principles of forecasting.Clear and logical structure, synthetic approach to the subject and the practical knowledge make manual powininen be compulsory volume in the library of every self-respecting forecaster. And not just those who deal with short-term forecasting.This textbook is a mine of practical knowledge for studetnó. Don't let a bad forecast ruin your whole decision Kesten Green (kesten.green@vuw.ac.nz) The subtitle of this book, A Handbook for Researchers and Practitioners, too narrowly defines the audience for Armstrong's new reference. Principles of Forecasting is, in fact, an indispensable resource for managers and professionals of every ilk. Forecasting is an integral part of decisions that we make and that are made for us. To be good decision makers and citizens we owe it to ourselves and others both to make our forecasts explicit and to
Professor Armstrong is the author of Long-Range Forecasting and he is a founder of the Journal of Forecasting, the International Journal ofForecasting, the International Institute of Forecasting and the International Symposium on Forecasting. . For additional information on the book and on the Forecasting Principles Project, see the home page