Short‐Term Sales Forecasting

P. J. Harrison

Journal of the Royal Statistical Society Series C, 1965, vol. 14, issue 2-3, 102-139

Abstract: After a critical review of a number of published methods for short‐term sales forecasting, two adaptive methods for seasonal sales forecasting have been developed. The conclusions reached are that for most industrial purposes short‐term sales forecasting methods should contain as few parameters as possible, that Brown's one‐parameter method is to be recommended for non‐seasonal forecasting and that the two‐parameter seasonal techniques developed in this paper offer improved seasonal forecasting methods.

Date: 1965
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.2307/2985338

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:bla:jorssc:v:14:y:1965:i:2-3:p:102-139

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9876

Access Statistics for this article

Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith

More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().