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Short‐Term Sales Forecasting
Author(s) -
Harrison P. J.
Publication year - 1965
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.2307/2985338
Subject(s) - sales forecasting , term (time) , econometrics , operations research , computer science , economics , actuarial science , statistics , mathematics , physics , quantum mechanics
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.