Research on the methods of parameter estimation in generalized weighted logarithmic mean combining forecasting model

For the actual cases of various forecasting problems, combining forecasting models may take different forms. But their forecasting efficiencies may be different for the different models. This paper presents two kinds of parameter estimation methods of weighting coefficients in generalized weighted logarithmic mean combining forecasting model. In final, the efficiencies of the two kinds of parameter estimation methods are demonstrated by an example. A very helpful conclusion is obtained, which can lay solid foundations for correct application of the above methods.