A simulation study of additive outlier in ARMA (1, 1) model
Abnormal observation due to an isolated incident such as a recording error is known as additive outlier and it is often found in time series. Since extreme value of additive outliers may contribute to the inaccuracy of model specification, proper detection procedure is significant to avoid such erro...
Saved in:
Main Authors: | Zaharim, Azami, Rajali, Rafizah, Atok, Raden Mohamad, Mohamed, Ibrahim, Jafar, Khamisah |
---|---|
格式: | Article |
出版: |
North Atlantic University Union
2009
|
主题: | |
在线阅读: | http://eprints.um.edu.my/25153/ https://www.naun.org/main/NAUN/ijmmas/mmmas-143.pdf |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Improvement on additive outlier detection procedure in bilinear model
由: Ismail, Mohd Isfahani, et al.
出版: (2008) -
A comparative study between conventional ARMA and Fourier ARMA in modeling and forecasting wind speed data
由: Jamaludin, A. R., et al.
出版: (2016) -
The Performance of AICC as an Order Selection Criterion in
ARMA Time Series Models
由: Venus, Khim-Sen Liew, et al.
出版: (2002) -
Performances test statistics for single outlier detection in bilinear (1,1,1,1) models
由: Zaharim, A., et al.
出版: (2017) -
Some outlier problems in a circular regression model / Safwati binti Ibrahim
由: Ibrahim, Safwati
出版: (2013)