Results 261 to 270 of about 1,024,956 (306)
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Quarterly Journal of the Royal Meteorological Society, 1998
Abstract Examples are used to provide an appreciation of the most recent developments in real‐time experimental and operational seasonal forecasting and also of some of the wide issues surrounding the provision and use of such forecasts.
D J Carson
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Abstract Examples are used to provide an appreciation of the most recent developments in real‐time experimental and operational seasonal forecasting and also of some of the wide issues surrounding the provision and use of such forecasts.
D J Carson
exaly +2 more sources
Probabilistic forecasts of the onset of the rainy season using global seasonal forecasts
2020<p>Seasonal forecasts for monsoonal rainfall characteristics like the onset of the rainy season (ORS) are crucial in semi-arid regions to better support decision-making in water resources management, rain-fed agriculture and other socio-economic sectors.
Manuel Rauch +5 more
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Fuzzy Sets and Systems, 1997
Abstract In this paper, a fuzzy forecasting technique for seasonality in the time-series data is presented using the following procedure. First, with the fuzzy regression analysis the fuzzy trend of a time-series is analyzed. Then the fuzzy seasonality is defined by realizing the membership grades of the seasons to the fuzzy regression model.
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Abstract In this paper, a fuzzy forecasting technique for seasonality in the time-series data is presented using the following procedure. First, with the fuzzy regression analysis the fuzzy trend of a time-series is analyzed. Then the fuzzy seasonality is defined by realizing the membership grades of the seasons to the fuzzy regression model.
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Seasonal cointegration, common seasonals, and forecasting seasonal series
Empirical Economics, 1993Seasonal cointegration generalizes the idea of cointegration to processes with unit roots at frequencies different from 0. Here, “common seasonals,” also a dual notion of common trends, is adopted for the seasonal case. The features are demonstrated in exemplary models for German and U.K. data.
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Forecasting of Seasonal Apparel Products
2015Demand forecasting of fashion apparel products has to cope with serious difficulties in order to get more accurate forecasts early enough to influence production decisions. Demand has to be anticipated at an early date due to long production lead times.
Michael Teucke +4 more
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1999
Abstract Forecasting is about making predictions of future events consistent with one’s best judgments. Consequently, it is desirable to allow for consistent revisions of those judgments as more data become available. Statistical models are efficient means of logically understanding the data and should be used as a guide to ...
James B Elsner, A Birol Kara
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Abstract Forecasting is about making predictions of future events consistent with one’s best judgments. Consequently, it is desirable to allow for consistent revisions of those judgments as more data become available. Statistical models are efficient means of logically understanding the data and should be used as a guide to ...
James B Elsner, A Birol Kara
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Forecasting time-series with correlated seasonality [PDF]
, 2004 A new approach to forecasting seasonal data is proposed where seasonal terms can be updated using the most recent relevant information. It was developed to handle features encountered in hourly electricity load data and daily hospital admissions data.
Phillip Gould +5 more
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