Analysis of China’s Population with Uncertain Statistics

Abstract

Uncertain statistics is a set of mathematical techniques for collecting, analyzing, and interpreting data by using uncertainty theory. This paper employs the tool of uncertain statistics including uncertain time series analysis, uncertain regression analysis, and uncertain differential equation to model China’s population. Following that, uncertain hypothesis test is used to determine whether the estimated uncertain statistical models are appropriate. As a byproduct, this paper also indicates that probability statistics cannot model China’s population by analyzing the characteristics of the corresponding residuals.