Forecasting: principles and practice
| Author | : | |
| Rating | : | 4.19 (936 Votes) |
| Asin | : | 0987507109 |
| Format Type | : | paperback |
| Number of Pages | : | 292 Pages |
| Publish Date | : | 2017-05-19 |
| Language | : | English |
DESCRIPTION:
"great introduction to forecasting" according to Amazon Customer. Authors have an engaging style and do a great job explaining several forecasting methods with applications as well as highlight the scope and differences among those. Earlier chapters provide a non-technical introduction to forecasting which would be appreciated by the people in the business world. Unlike many other books on times series analysis, this is not a heavily mathematical book. It is geared towards the education and somewhat painless implementation of the f. LanternRouge said Outstanding practical book on forecasting. This book is an excellent resource for anyone trying to master practical nuts and bolts of forecasting or who is just starting to study the field. The authors explain the practical issues needed to forecast. If you want to know about the distribution of the Durbin-Watson statistic, or other recondite details, this is not the right resource. The text is tightly integrated with R examples which make it easy to start applying immediately what you have learned. Note: I r. Sandro Saitta said Understand and implement forecasting algorithms. While working on forecasting (understand “time series analysis”) I found several interesting and state of the art articles from Rob J. Hyndman. He is the co-author, with George Athanasopoulos of Forecasting: Principles and Practice. This is an excellent, concise and comprehensive text explaining concepts behind forecasting, common algorithms and how to implement them in R (for a business view of forecasting, I advise "Future Ready").The book presents key
Stocking an inventory requires forecasts of stock requirements. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. Deciding whether to build another power generation plant in the next five years requires forecasts of future demand. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. Telecommunication routing requires traffic forecasts a few minutes ahead. Examples use R with many data sets taken from the authors' own consulting experience.. Scheduling staff