Research Article
Performance of Bootstrap Method in Singular Spectrum Analysis on Forecasting Rainfall Data
@INPROCEEDINGS{10.4108/eai.18-7-2019.2288596, author={Gumgum Darmawan and Dedi Rosadi and Budi Nurani R}, title={Performance of Bootstrap Method in Singular Spectrum Analysis on Forecasting Rainfall Data }, proceedings={Proceedings of The 2nd International Conference On Advance And Scientific Innovation, ICASI 2019, 18 July, Banda Aceh, Indonesia}, publisher={EAI}, proceedings_a={ICASI}, year={2019}, month={11}, keywords={bootstrap forecasting rainfall singular spectrum analysis (ssa)}, doi={10.4108/eai.18-7-2019.2288596} }- Gumgum Darmawan
Dedi Rosadi
Budi Nurani R
Year: 2019
Performance of Bootstrap Method in Singular Spectrum Analysis on Forecasting Rainfall Data
ICASI
EAI
DOI: 10.4108/eai.18-7-2019.2288596
Abstract
SSA forecasting based on bootstrap is used to forecast rainfall data. The execution of the strategy is inspected as far as an assortment grouping and Window length. Application to original data are directed to research the precision of this method in contrast with other prediction methods i.e linear recurrent (LRF) and vector forecasting method. After running computation by software R, The bootstrap forecasting method released the best result then any other methods i.e LRF and vector method.
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