Time series analysis of average current annual increase in diameter of uneven-aged stand

Author

Xiaoli Fan ; Hua Yang ; Xingang Kang ; Yan Gao ; Qixiang Feng ; Zhiwen Gong

Author_Institution

Key Lab. for Silviculture & Conservation of Minist. of Educ. Coll. of Forestry, Beijing Forestry Univ., Beijing, China

Volume

3

fYear

2011

fDate

26-28 July 2011

Firstpage

1550

Lastpage

1554

Abstract

According to Box-Jenkins principle and ARIMA model, the time series of the average diameter Current Annual Increment of Sabina przewalskii Kom Uneven-Aged Stand was fitted and predicted. A model was constructed and predicted for the sample tree data by Eviews software to select the form of the optimal model. The results showed that the AR(2) model was better fitting the series of the average Diameter Current Annual Increment R2=0.4861 and Bias was small. ARIMA model was used for short-term prediction of the series of diameter, which is very useful for prediction of the diameter growth.

Keywords

autoregressive moving average processes; forestry; time series; tree data structures; AR model; ARIMA model; Box-Jenkins principle; Eviews software; Sabina przewalskii Kom uneven-aged stand; average diameter current annual increment; sample tree data; time series analysis; Analytical models; Correlation; Data models; Forestry; Mathematical model; Predictive models; Time series analysis; ARIMA model; Current Annual Increment; Sabina przewalskii Kom; average diameter; time series;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-61284-180-9

Type

conf

DOI

10.1109/FSKD.2011.6019800

Filename

6019800