Nonparametric Simulation

ACTUAL DATA

select a distribution

normal(0,1)

number of bins

k

10

data size

N

400

regenerate data

seed

10

SIMULATED DATA

data size

n

60

regenerate data

seed

30

This Demonstration uses a simplified nonparametric process to generate a pseudorandom dataset (red) that corresponds to an "actual" dataset (green), without considering any information about the "actual" data distribution. Use the controls to change the parameters and observe how the simulated dataset fits the "actual" dataset, as well as how the dataset's PDF kernel estimations approximate the theoretical PDF.