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Generalized weighted functional proportional mean combining forecasting model and its method of parameter estimation
作者姓名:万玉成  盛昭瀚
摘    要:1 .INTRODUCTIONCombiningforecastinghasbroughtgreatattentiontobytheforecastingcirclessince 196 9whenJ .M .BatesandC .W .J .Grangerproposeditstheoryandmethod1] .Thetheoryandmethodsofcombiningforecastinghavebeendevelopedwidelyinrecentyears .Forpracticalcase…


Generalized weighted functional proportional mean combining forecasting model and its method of parameter estimation
Abstract:A new kind of combining forecasting model based on the generalized weighted functional proportional mean is proposed and the parameter estimation method of its weighting coefficients by means of the algorithm of quadratic programming is given. This model has extensive representation. It is a new kind of aggregative method of group forecasting. By taking the suitable combining form of the forecasting models and seeking the optimal parameter, the optimal combining form can be obtained and the forecasting accuracy can be improved. The effectiveness of this model is demonstrated by an example.
Keywords:combining forecasting  generalized weighted functional proportional mean  parameter estimation  quadratic programming
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