Evaluation Of GDP Accuracy Based On Higher Degree Equation Models

There is no doubt that the accuracy of statistics has a virtual significance to the scientific and effectiveness of making decisions.Furthermore,an accuracy and transparent data has become the main basis for macroeconomic policy.The National Bureau of Statistic(NBS)repeatedly emphasized the importance of the data accuracy,which is now a confidential strategic task for NBS.Therefore,it has theoretical and practical significance to research on ways of how to improve data accuracy and increase data use ratio.A great deal of previous study was done on both the practical and theoretical aspects as well as the evaluation methods of data accuracy assessment.However,when coming to the evaluation methods,error decomposition method and correlation analytical method are still the most popular methods among many academics.In contrast,the time series modeling was scarcely carried out by exploiting data trends for quantitative analysis.Through in-depth theoretical research and rough analysis of practical cases,this paper studies the data accuracy assessment based on the way of higher degree equation modeling.The thesis consists of five chapters.Chapter one is an introduction,including a general idea of the research subject,the background,research methodology and a framework of the thesis.The second part discusses the definite,the functions,the approaches,the models and the standards of evaluation of the integration.The architecture and model of the assessment of statistical data accuracy based on higher order equation modeling is put forward in chapter three.Firstly,the data compression method was proposed and abnormity detection was made for the compressed data.Simultaneously,a higher order equation model was developed for further data quality assessment.The rationality,feasibility,and scientific of this new research way were ensured by adopting simulation method and algebraic method.The simulation method was adopted for intuitionistic comparison and the latter was for further quantitative analysis.Chapter four selected a sample to verify the theoretical assumptions,and the results are analyzed and summarized.Chapter five is the conclusion of the whole paper.