Logistic-Curve Models

These models and simulations have been tagged “Logistic-Curve”.

Data from two rounds of using Disease Participatory Simulation in class. Participants + Androids = 39.  By adjusting Rate Constant, stocks and flows representation can be used to match data from either Trial 1 or Trial 2. An example of matching Trial 1 is shown when this simulation is run.  Graph of
Epidemic Curve Disease Logistic Curve Participatory Simulation
Data from two rounds of using Disease Participatory Simulation in class. Participants + Androids = 39.  By adjusting Rate Constant, stocks and flows representation can be used to match data from either Trial 1 or Trial 2. An example of matching Trial 1 is shown when this simulation is run.  Graph of "Area" (Well * Sick) has the same shape as Rate Catching graph. The Rate Catching graph is much smaller because the Well * Sick values are multiplied by a small constant that is the Rate Constant.
Disease - Participatory Simulation Data
Walter M. Stroup
Data from two rounds of using Disease Participatory Simulation in class. Participants + Androids = 39.  By adjusting Rate Constant, stocks and flows representation can be used to match data from either Trial 1 or Trial 2. An example of matching Trial 1 is shown when this simulation is run.  Graph of
Epidemic Curve Disease Logistic Curve Participatory Simulation
Data from two rounds of using Disease Participatory Simulation in class. Participants + Androids = 39.  By adjusting Rate Constant, stocks and flows representation can be used to match data from either Trial 1 or Trial 2. An example of matching Trial 1 is shown when this simulation is run.  Graph of "Area" (Well * Sick) has the same shape as Rate Catching graph. The Rate Catching graph is much smaller because the Well * Sick values are multiplied by a small constant that is the Rate Constant.
Disease - Participatory Simulation Data
wmstroup