Component Data Combination Forecasting Model and Its Application in Prediction and Analysis of Industrial Structure

Abstract

Abstract-Composition data represent the relative information of data, not absolute information. The determination and restriction make the analysis of composition data different from other general data, and need to be transformed and reanalyzed first. For a series of chronological data collected, the paper uses two components of data formed by asymmetric logratio transformation and spherical coordinate transformation to establish the forecasting model respectively, and the two forecasting models are combined and forecasted to establish the forecasting model. According to the forecasting method, a forecasting model of Chinese fishery industrial structure is established and the future industrial structure of Chinese fishery is predicted.