What is a White Noise model and how can you simulate it using R?

The white noise (WN) model is a basic time series model.It is the simplest example of a stationary process.

A white noise model has:

  • A fixed constant mean
  • A fixed constant variance
  • No correlation over time

Simulating a white noise model in R:

arima.sim(model=list(order=c(0,0,0)),n=50)->wn

wn

ts.plot(wn)

Rplot03