Consensus Forecasting Using Relative Error Weights

Employs weights based on relative errors produced by two or more models to formulate a consensus forecast. This method better captures changing patterns through time and sharply reduces size of forecast error.

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Year of publication:	1994
Authors:	Lackman, Conway ; Brandon, Charles
Published in:	Marketing Intelligence & Planning. - MCB UP Ltd, ISSN 1758-8049, ZDB-ID 2023533-1. - Vol. 12.1994, 1, p. 37-41
Publisher:	MCB UP Ltd
Subject:	Forecasting \| Forecasting error \| Models \| Statistical forecasting

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Type of publication:	Article
Type of publication (narrower categories):	research-article
Language:	English
Other identifiers:	10.1108/02634509410052649 [DOI]
Source:	Other ZBW resources

Persistent link: https://www.econbiz.de/10014946446