PARAMETER ESTIMATION FOR PERIODIC ARMA MODELS

G. J. Adams and G. C. Goodwin

Journal of Time Series Analysis, 1995, vol. 16, issue 2, 127-145

Abstract: Abstract. In time series analysis of data sequences, the estimation of the parameters of an identified autoregressive moving‐average (ARMA) model is a well‐known and straightforward exercise. However, if the parameters of the model are periodic (i.e. a periodic ARMA (PARMA) model) then the estimation process becomes more difficult. This paper describes an on‐line parameter estimation technique, based on methods from automatic control, which is demonstrated to provide consistent estimates of PARMA model parameters.

Date: 1995
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