haku: @indexterm Box-Jenkins method / yhteensä: 41
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Tekijä:Businger, M. P.
Read, R. R.
Otsikko:Identification of demand patterns for selective processing: a case study.
Lehti:Omega
1999 : APR, VOL. 27:2, p. 189-200
Asiasana:Forecasting techniques
Box-Jenkins method
Prediction theory
Statistical methods
Kieli:eng
Tiivistelmä:The research begins with the development of several simple, robust and dimensionless time series features. These are used to predict the suitability of Box-Jenkins modeling. The predictive models are considered: classical regression and a modern expert-system statistical package, ModelQuest. Their strengths and weaknesses are compared. The result of either is a computationally simple means for determining with repair parts time series may benefit from the Box-Jenkins methodology for purposes of inventory management.
SCIMA tietueen numero: 195094
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