The effect of sample size on the grey system model

DOI10.1016/j.apm.2013.01.018zbMath1426.62279OpenAlexW1989574891MaRDI QIDQ1788771

Lifeng Wu, Ligen Yao, Shuli Yan, Si-Feng Liu

Publication date: 8 October 2018

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2013.01.018

zbMATH Keywords

grey systemsmall sample forecastingChinese energy consumptionelectricity consumption per capitalogistics demandsyphilis incidence

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Inference from stochastic processes and fuzziness (62M86)

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Cites Work

• Discrete grey forecasting model and its optimization
• An extended grey forecasting model for omnidirectional forecasting considering data gap difference
• A grey-based fitting coefficient to build a hybrid forecasting model for small data sets
• Analysis and prediction of hazard risks caused by tropical cyclones in southern China with fuzzy mathematical and grey models
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