The Advancement Of The Official Statistical Data Quality Control Technique: Neural Network Model, Binary Choice Model

Recent years,with the deeply development of China's socialistic market economy,our country's economy developed sustainedly and quickly,which induce the attention of the whole world.While the offical statistical data and its quality also become the focus which concerned by interrelated institutions and researchers both home and abroad.The offical statistical data quality plays a indispensable role ,not only in making country's development strategies,formulating society and economy macro-control,but also in drawing up enterprise's marketing policies and the research in fields as society,economy,environment and so on.Therefore,it has actual meanings and applicable value to evaluate the offical statistical data quality scientifically as well as to research and investigate the control technologies of the offical statistical data quality.The offical statistical data quality control system is constructed from the point of view in the statistical technologies ,the content of which can be divided into three main aspects, by the backgrounds and principles.They are list approaches,comparative analysis approaches and error model approaches.This paper will continue to probe other control technologies,such as neural network model,binary choice model.This paper will probe these methods application in the official statistical data quality control ,and compare these methods both in the point of view in quantity and quality.In order to provide some new methods and new trains of thought for the official statistical data quality control technologies . Expect to perfect our country's the official statistical data quality control system and to improve the official statistical data quality of our country.