Remodelling Canadian Lynx Data.

Gallo, Michele and Venkatesan, D. (2009) Remodelling Canadian Lynx Data. International Journal of Statistics and Systems, 4 (2). pp. 93-98. ISSN 0973-2675

PDF - Repository staff only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
200Kb

Official URL: http://www.ripublication.com/ijss.htm

Abstract

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.

Item Type:Article
Uncontrolled Keywords:Autoregressive models, Bayesian Inference, Canadian lynx data, FRAR model.
Subjects:AREA 13 - Scienze economiche e statistiche > STATISTICA
ID Code:707
Deposited By:Prof. Michele Gallo
Deposited On:19 Aug 2011 09:33
Last Modified:19 Aug 2011 09:33

Repository Staff Only: item control page