EconPapers    
Economics at your fingertips  
 

ARAR

Peter J. Brockwell and Richard A. Davis
Additional contact information
Peter J. Brockwell: Royal Melbourne Institute of Technology, Mathematics Department
Richard A. Davis: Colorado State University, Department of Statistics

Chapter 8 in ITSM for Windows, 1994, pp 95-100 from Springer

Abstract: Abstract To run the program ARAR, double click on the arar icon in the itsmw window (or type ARAR↩ from the DOS prompt) and press ↩. You will then see a brief introductory statement. The program is an adaptation of the ARARMA forecasting scheme of Newton and Parzen (see The Accuracy of Major Forecasting Procedures, ed. Makridakis et al., John Wiley, 1984, pp.267 – 287). The latter was found to perform extremely well in the forecasting competition of Makridakis, the results of which are described in the book. The ARARMA scheme has a further advantage over most standard forecasting techniques in being more readily automated.

Keywords: Main Menu; Introductory Statement; Type Arar; Gaussian Likelihood; Slow Procedure (search for similar items in EconPapers)
Date: 1994
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4612-2676-5_8

Ordering information: This item can be ordered from
http://www.springer.com/9781461226765

DOI: 10.1007/978-1-4612-2676-5_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-07-12
Handle: RePEc:spr:sprchp:978-1-4612-2676-5_8