Open AccessStatistical analysis and prediction based on recursive calculation under short and long term models
Author(s) -
Zhang Liu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1629/1/012082
Subject(s) - term (time) , census , population , econometrics , population growth , china , key (lock) , computer science , statistics , demography , mathematics , geography , physics , archaeology , quantum mechanics , sociology , computer security
One of the most critical factors for economic growth is population issue, which is also a key factor restricting the development of a country. Currently, the population aging process has accelerated, the number of birth sex ratios has continued to rise, and the rural population has been urbanized. Based on the recursive calculation method, the relevant population short-term growth prediction model and long-term growth prediction model are established in this paper. According to the census data, the future possible number is predicted. Practice has proved that our prediction results are basically in line with China’s development.