1Department of Social Science, University of Naples – L'oriental, Italy.
2Department of statistics, Annamalai University, India.
We re-examine the annual trappings of the Canadian Lynx over the years 1821–1934, which have been reported and analyzed extensively. This paper shows that the Full Range Autoregressive (FRAR) model, free from order determination processes, provides an acceptable alternative to the more widely adopted class of Autoregressive (AR) models.
Autoregressive models, Bayesian Inference, Canadian lynx data, FRAR model
