Methods and Applications. Third Edition. Spyros Makridakis. European Institute of Business 2/4/3 Comparing forecast methods 2/4/4 Theils U-statistic Makridakis, Spyros, Steven C. Wheelwright, and Rob J. Hyndman, Forecasting: Methods and. Applications, Third edition. John Wiley and Sons, Reviewed . of major forecasting methods, (2) provide a complete description of Spyros G. - Forecasting: methods and applications. –3rd ed. / Spyros Makridakis, Steven C.
|Language:||English, Spanish, Indonesian|
|Genre:||Health & Fitness|
|ePub File Size:||27.71 MB|
|PDF File Size:||15.29 MB|
|Distribution:||Free* [*Regsitration Required]|
Forecasting: methods and applications / Spyros Makridakis, Steven C. Wheelwright, Victor E. McGee. Article (PDF Available) with 4, Reads. Spyros Makridakis. Rob J Hyndman. Forecasting: Methods and Applications by Spyros Makridakis; Steven C. Wheelwright; Rob J. Makridakis, Wheelwright & Hyndman - Forecasting, Methods and Applications. 3rd Ed - Ebook download as PDF File .pdf), Text File .txt) or read book online.
Seasonal component. For multi-step forecasts. The second group of methods applies an unequal set of weights to past data. Most published economic series are seasonally adjusted because seasonal variation is typically not of primary interest. The decomposition described above gives a very similar display to that in Figure This problem obviously becomes more important when decomposing long time series since there is greater scope for changes in the seasonal variation. Thus we cannot plot price against country in the same way.
Learn more. If you have previously obtained access with your personal account, Please log in. If you previously purchased this article, Log in to Readcube. Log out of Readcube. Click on an option below to access. Log out of ReadCube.
Volume 3 , Issue 4. Please check your email for instructions on resetting your password. If you do not receive an email within 10 minutes, your email address may not be registered, and you may need to create a new Wiley Online Library account.
If the address matches an existing account you will receive an email with instructions to retrieve your username. Everette S. Gardner JR.
Search for more papers by this author. First published: Tools Request permission Export citation Add to favorites Track citation.
Share Give access Share full text access. Share full text access. Please review our Terms and Conditions of Use and check box below to share full-text version of article.
Get access to the full version of this article. View access options below. Rob Hyndman. Forecasting Methods and Applications. See discussions, stats, and author profiles for this publication at: The user has requested enhancement of the downloaded file. All in-text references underlined in blue are added to the original document and are linked to publications on ResearchGate, letting you access and read them immediately.
Forecasting Methods for Managers by S. Makridakis; S.
Wheelwright Review by: JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive.
We use information technology and tools to increase productivity and facilitate new forms of scholarship. One would not agree with all his points: The author is rather sententious, very much overworks the word "wise" and has also not been well served by his publisher.
A price of? However, despite these drawbacks, it is worth buying if only to check periodically one's own group's behaviour. The forecasting techniques available have increased both in number and com- plexity, so now is the time for a book to help both OR workers and managers to choose the most appropriate technique. It is principally aimed at managers, therefore you would expect a simple approach to the techniques.
They introduce forecasting gently in the first two chapters by discussing the role of forecasting in a firm, stressing, quite rightly, that accuracy is not the sole criterion.
They do not mention, however, that a graph can provide the manager with useful information. They then proceed to develop all the techniques, but in most cases they cannot describe them sufficiently.
The smoothing techniques, regression techniques and adaptive filtering, they prefer the latter , however, are well described via worked examples.
They give a basic introduction to Box-Jenkins, but for most of the techniques the "manager" must look up the references provided.
Since the book is intended for the U. These are: The applicability is divided into a the time required to make a forecast and b the easiness to understand and interpret the results.
The forecasting techniques are listed across the top. For example, if the manager has a short-term forecast to prepare he would look up in the table and find that the quickest method to prepare a forecast is simple exponential smoothing.
Under exponential smoothing he will find a worked example explaining how to use this technique or references to explore further.