AbM Tmor-Da Evolution 1: [SA4-1500] Sensitivity analysis of parameter no.4 population of 1500 (Statistical dataset)

Sensitivity analysis is a method to determine the effects of different parameter values and inputs has on simulation outputs. This process can be done before or after calibration (Ronald 2016). + Calibrate parameter no.4 population of 1500Statistical analysis of 20 simulations to test assumption 1. The folder include the python code that rearrange and analyse the statistical data. Wilcoxon ranked of sum analyse the consistency between 20 datasets.Reference:Ronald, N. A. (2012). Modelling the effects of social networks on activity and travel behaviour. Eindhoven: Technische Universiteit Eindhoven. https://doi.org/10.6100/IR735524

敏感性分析是一种确定不同参数值和输入对模拟输出影响的方法。此过程可在校准前后进行（Ronald 2016）。对参数编号4的1500个个体进行20次模拟的统计分析，以检验假设1。文件夹中包含用于重新排列和分析统计数据的Python代码。采用Wilcoxon秩和检验分析20个数据集之间的一致性。参考文献：Ronald, N. A. (2012). 社会网络对活动和出行行为影响建模。Eindhoven：代尔夫特理工大学。https://doi.org/10.6100/IR735524