Hassani, HosseinSilva, Emmanuel SirimalGupta, RanganDas, Sonali2018-07-092018-11Hassani, H., Silva, E.S., Gupta, R. & Das, S.2018, 'Predicting global temperature anomaly : a definitive investigation using an ensemble of twelve competing forecasting models', 'Physica A : Statistical Mechanics and its Applications, vol. 509, pp. 121-139.0378-4371 (print)1873-2119 (online)10.1016/j.physa.2018.05.147http://hdl.handle.net/2263/65318en© 2018 Elsevier B.V. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Physica A: Statistical Mechanics and its Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Physica A: Statistical Mechanics and its Applications, vol. 509, pp. 121-139, 2018. doi : 10.1016/j.physa.2018.05.147.ForecastingStatistical processNonparametric approachMultivariate modelsForecasting modelsCompeting modelsCO2 emissionsGlobal temperature anomalyUnivariate modelsSpectrum analysisCarbon dioxide (CO2)Postprint Article