DocumentCode
3075111
Title
Further comments on nonstationarity identification problems for autoregressive models
Author
Zhang, Hu-Ming
Author_Institution
Dept. of Stat., Georgia Univ., Atlanta, GA, USA
fYear
1990
fDate
5-7 Dec 1990
Firstpage
3204
Abstract
Nonstationarity for autoregressive models is identified by giving the necessary and sufficient conditions for autoregressive models to be oscillatory. The criteria previously proposed to identify autoregressive models to be asymptotically stationary or nonstationary are improved and extended to general multidimensional autoregressive models
Keywords
identification; statistical analysis; autoregressive models; necessary conditions; nonstationarity identification; sufficient conditions; Artificial intelligence; Biological system modeling; Chemistry; Control system synthesis; Explosives; Multidimensional systems; Polynomials; Statistics; Sufficient conditions; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location
Honolulu, HI
Type
conf
DOI
10.1109/CDC.1990.203381
Filename
203381
Link To Document