Model of a , x N , where the actual value x jis described by a??time series x1 , x2 , linear combination of the p predecessors x j = ai x j i + e j , where ai denotes the j th autoregressive (AR) coefficient and ei denotes white noise or the prediction error. p denotes the order of the AR process