Statistical Prediction Methods Of The Intelligent Mobile Phone

With the rapidly developing of Communications technology, industrial applicationand technology of Internet of things and the convergence of three networks, the demandof mobile phone application has risen too. For mobile phone companies, how to graspthe rapid change of phone market and intelligent mobile sales methods and exploreindustrial market capacity and stock have been appending questions.In this paper, we start from the present and development situation of intelligentmobile, analyze several basic concepts, industry development trend, sales channels andthe technology. Then, the author combines with the knowledge of the mobile phonesales market, summarizes the main factors which influences the face of intelligentmobile phone sales, and choose some as the prediction of sales data. Finally, the authorputs forward some improvement suggestions of sales promotion based on theforecasting analysis of the phone sales.In this paper,we combined with theory and practice, thinking the bottleneckproblem of mobile phone industry data and study the actual face as research material,using the theory of statistics which can be used in the study of quantitative predictionand forecast methods of data. Though this paper is mainly aimed at the intelligentmobile phone, but also has a certain reference value to similar research of otherelectronic information products. Therefore, this paper is of practical significance.