The University of Melbourne
25 files

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

Version 4 2020-07-12, 10:22
Version 3 2019-12-19, 03:16
Version 2 2019-12-13, 12:53
Version 1 2019-12-13, 12:24
posted on 2020-07-12, 10:22 authored by YEE KEE KU, YEE KEE KU
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 1500

Statistical 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.

Ronald, N. A. (2012). Modelling the effects of social networks on activity and travel behaviour. Eindhoven: Technische Universiteit Eindhoven.