Probability Model of Mobile Phone Tariff Selection Based on Poisson Regression Model

Abstract

With the deepening of the informatization degree of social life, mobile phones have become an indispensable tool in People's Daily life, study and work. In order to guide people to make more scientific choices, some reasonable models are needed as a reference. The choice of mobile phone tariff is a decision-making problem that people often encounter. For companies, how to set mobile phone rates and which mobile phone rates are more likely to be selected by whom are the decisions they need to make. Determine these problems more effectively in order to research, this article through early to collect data, the Poisson regression model was established, using the largest eigenvalue method and maximum likelihood estimation method to determine the parameters in the model, and finally determine the established model, on the basis of this model can calculate the probability of choosing a mobile phone charges.