Approaches for Population Data Processing and Application of Robust Estimation to Simulating the Population Models

In order to improve the reliability of population data analysis and the prediction of population models, this paper presents various methods for enhancing the quality of simulation of the population functions based on cleaning statistic data and selecting suitable, mathematical functions. The introduction of robust estimators to data processing and simulation could strengthen the resistance of the population models against outliers or gross errors. The accuracy of the simulation could be improved by choosing proper mathematical functions. The research in this article shows that the accuracy and reliability of population models derived from the suggested methods are better than classical approaches.