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- 0a257616-b449-4845-923f-e269c5379dff importedBy mailto:service-account-generation-service assertion.
- 0a257616-b449-4845-923f-e269c5379dff Concept "experiment" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Concept "effectiveness" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Concept "forecast" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Concept "time series" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Concept "mathematical function" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Concept "trend" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Concept "sine" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Concept "high quality" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Concept "increment" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Concept "seasonality" assertion.
- 0a257616-b449-4845-923f-e269c5379dff FieldOfResearch "earth sciences" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Lemma "experiment" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Lemma "forecasting" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Lemma "time series" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Lemma "trend" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Lemma "sine" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Lemma "WCC" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Lemma "increment" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Lemma "seasonality" assertion.
- 0a257616-b449-4845-923f-e269c5379dff NASA "mathematical and computer sciences" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Phrase "multiple sine functions decomposition" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Phrase "WCC method" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Phrase "forecasting time series" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Phrase "forecasting trend" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Phrase "time series forecasting" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Sentence "In this paper, a novel weighted-combination-of-components (WCC) method is proposed for modeling and forecasting trend and seasonal time series, and such a method is based on decomposition model which regards the time series as the weighted combination of trend, seasonality and other components." assertion.
- 0a257616-b449-4845-923f-e269c5379dff Sentence "Numerical experiment results substantiate the effectiveness and superiority of the proposed WCC method in terms of modeling and forecasting time series from the NN3 competition." assertion.
- 0a257616-b449-4845-923f-e269c5379dff Sentence "Time Series Forecasting via Weighted Combination of Trend and Seasonality Respectively with Linearly Declining Increments and Multiple Sine Functions." assertion.
- 0a257616-b449-4845-923f-e269c5379dff generatedAtTime "2014-01-01" assertion.
- 0a257616-b449-4845-923f-e269c5379dff description "In this paper, a novel weighted-combination-of-components (WCC) method is proposed for modeling and forecasting trend and seasonal time series, and such a method is based on decomposition model which regards the time series as the weighted combination of trend, seasonality and other components. Specifically, the Holt's two-parameter exponential smoothing (HTPES) method is improved (for short, the IHTPES method) to evaluate the trend with linearly declining increments; and the multiple sine functions decomposition (MSFD) method is developed to evaluate the seasonality. Then the weighted combination of the evaluations is obtained to estimate the global time series. Numerical experiment results substantiate the effectiveness and superiority of the proposed WCC method in terms of modeling and forecasting time series from the NN3 competition." assertion.
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- 0a257616-b449-4845-923f-e269c5379dff dateCreated "2018-06-20 11:33:41.523000+00:00" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Domain "statistics" assertion.
- 0a257616-b449-4845-923f-e269c5379dff Domain "mathematics" assertion.
- 0a257616-b449-4845-923f-e269c5379dff cite-as "CNR-ISMAR, and Generation Service. "Time Series Forecasting via Weighted Combination of Trend and Seasonality Respectively with Linearly Declining Increments and Multiple Sine Functions." ROHub. Jun 20 ,2018. https://w3id.org/ro-id/0a257616-b449-4845-923f-e269c5379dff." assertion.
- 0a257616-b449-4845-923f-e269c5379dff about 632 assertion.
- 0a257616-b449-4845-923f-e269c5379dff name "Time Series Forecasting via Weighted Combination of Trend and Seasonality Respectively with Linearly Declining Increments and Multiple Sine Functions" assertion.
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- 0a257616-b449-4845-923f-e269c5379dff dateModified "2025-03-05 02:47:47.396151+00:00" assertion.
- 0a257616-b449-4845-923f-e269c5379dff datePublished "2018-06-20 11:33:41.523000+00:00" assertion.
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