Definicja white noise

White noise is a technical term used in conjunction with forecasting and in particular with time series models (univariate forecasting). Basically it means that the system cannot find a model that fits the historical data as there is too much scatter. The values for the dependent variable can only be predicted with an error function. Technically it means that the autocorrelation function value is smaller than a particular predefined value.