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The accuracy of intermittent demand estimates

Article Abstract:

A study to compare four forecasting methods namely Simple Moving Average (SMA, 13 periods), Single Exponential Smoothing (SES), Croston's method and a new method based on Croston's approach, on 3000 real intermittent demand data series from the automotive industry, is presented.

Author: Boylan, John E., Syntetos, Aris A.
Publisher: Elsevier B.V.
Publication Name: International Journal of Forecasting
Subject: Economics
ISSN: 0169-2070
Year: 2005
Motor Vehicles and Equipment, Methods, Analysis, Comparative analysis, Transportation equipment industry, Demand (Economics), Prediction theory, Automotive industry

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Forecasting the behaviour of manufacturing inventory

Article Abstract:

Factors influencing inventory investment and the forecasting levels of the manufacturing industry are described. A successful approach to forecast the UK manufacturing stock behavior sponsored by a leading European metals manufacturer is reported.

Author: Albertson, Kevin, Aylen, Jonathan
Publisher: Elsevier B.V.
Publication Name: International Journal of Forecasting
Subject: Economics
ISSN: 0169-2070
Year: 2003
Financial management, Inventories, Models, Manufacturing industry, Manufacturing industries, Company investment, Investments, Econometrics

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Long lead-time forecasting of UK air passengers by Holt-Winters methods with damped trend

Article Abstract:

Air passenger traffic data and forecasts are used in planning decisions for air tranport infrastructure. Researchers found more accuracy in using long lead-time predictions with modification of the Holt-Winters procedure.

Author: Grubb, Howard, Mason, Alexina
Publisher: Elsevier B.V.
Publication Name: International Journal of Forecasting
Subject: Economics
ISSN: 0169-2070
Year: 2001
TRANSPORTATION BY AIR, Air Transportation, Statistical Data Included, Planning, Transportation industry, Airlines, Statistics, Air transportation industry, Civil aviation, Traffic, Airline passengers

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Subjects list: United Kingdom, Forecasts and trends, Market trend/market analysis
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