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The Semi-parametric Prediction in Nonlinear-autoregressive Model for Annual Ring Width of Pinus eldarica


Paper Type 
Contributed Paper
Title 
The Semi-parametric Prediction in Nonlinear-autoregressive Model for Annual Ring Width of Pinus eldarica
Author 
Majid Kiaei* [a], Seyyad Javad Mortazavi [b] and Maryam Veylaki
Email 
mjd_kia59@yahoo.com
Abstract:
The aim of this research is to find the regularity in frequencies of diameter increment, and determine the relationship between tree age and fluctuations in radial increment of Pine trees (Pinus eldarica). In this direction, three normal pine trees from Kelardashat site (north of Iran) were selected. Disks were cut down at breast height, and the annual ring width in radial axis (1974-2008) was determined by Binocular system. The additive functional-autoregressive model is considered and semi-parametric method is proposed to forecast regression function. Furthermore, the method is applied for annual ring width prediction. The results showed that the nonlinear time series model is an efficient model for prediction of annual ring width. 
Start & End Page 
715 - 720
Received Date 
2012-10-22
Revised Date 
Accepted Date 
2017-02-07
Full Text 
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Keyword 
semi-parametric estimation, nonlinear time series models, conditional least squares method, annual ring width
Volume 
Vol.44 No.2 (April 2017)
DOI 
Citation 
Kiaei M., Mortazavi S.J. and Veylaki M., The Semi-parametric Prediction in Nonlinear-autoregressive Model for Annual Ring Width of Pinus eldarica, Chiang Mai J. Sci., 2017; 44(2): 715-720.
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Chiang Mai Journal of Science

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