The Application of the Bayes' Dynamic Liner Model in the Price Forecast of Fishery
Song Rui-feng · Jiangxi kexue · 2009
Applying the simple difference equation model,the ARMA model and the bayes′dynamic linear models(BDLM),the time series characterizations about the fish′s price data of Guangzhou are analyzed.By means of the programming language MATLAB,with considering and proceeding a test of goodness of fit for three models above,we find that the fish′s price of Guangzhou not only changes with the seasons and the relation of supply and demand,but also has the trend of rising in price evidently.