Port Cargo Statistical Analysis And Prediction Method

ABSTRACT:With the gradual establishment of market economy mechanism, the port statistics often encounter some new situations and new problems:some of the statistical system has long been in use, statistics began to reveal certain aspects of its weak adaptation, the parties face the demand for statistical information growing, the growing complexity of the content of the survey, and survey methods are still over-reliance on the traditional pattern of comprehensive statistical several levels. So they requested that the port is no longer a simple business statistics internal and external reporting statements of work, but to form a comprehensive production management for port activities target a variety of statistical information needs. Port Enterprises need innovative statistical concepts, statistical, statistics, space to expand the scope of statistics to explore the development path to meet the business to look at the whole market information, forming a comprehensive and effective system of port statistics.This article first port enterprises work Summary of existing statistical description and analysis that needs to gradually increase the port deep-level statistical data preprocessing, the value of the effective use and forecasting and decision support, etc.; then through statistical analysis of the current method of traditional port Development and application of limitations summarized, the effective application of multiple regression analysis method; combined prediction model and application, leads to the purpose of writing this article:Fusion multivariate analysis methods and regression models predict the depth of the system for Port Statistics data and projections provide decision support information to enhance the development of statistical resources, the use of capacity and value.