White noise process properties

1. What are the three characteristics of a white noise process?
2. What is white noise and its characteristics?
3. What is the function of white noise?
4. What is a white noise process in econometrics?

What are the three characteristics of a white noise process?

A white noise process is a random process of random variables that are uncorrelated, have mean zero, and a finite variance.

What is white noise and its characteristics?

White noise is random noise that has a flat spectral density — that is, the noise has the same amplitude, or intensity, throughout the audible frequency range (20 to 20,000 hertz). White noise is so named because it's analogous to white light, which is a mixture of all visible wavelengths of light.

What is the function of white noise?

1. White noise blocks distracting environmental noises. The soothing sound of a white noise machine can mask sounds that may keep you awake, such as barking dogs, loud neighbors, and honking vehicles. Some hospitals install white noise machines in patient rooms so that patients can fall asleep easier.

What is a white noise process in econometrics?

The white noise is a stationary time series or a stationary random process with zero autocorrelation. In other words, in white noise any pair of values and taken at different moments and of time are not correlated - i.e. the correlation coefficient. is equal to null.