Note on parameter estimation for general non–linear time series models
作者:
Wilfried Loges,
期刊:
Statistics
(Taylor Available online 1987)
卷期:
Volume 18,
issue 4
页码: 587-590
ISSN:0233-1888
年代: 1987
DOI:10.1080/02331888708802055
出版商: Akademie-Verlag
关键词: Parameter estimation;strong consistency;non–linear autoregressive processes
数据来源: Taylor
摘要:
Least squares estimation is shown to be strongly consistent for non–linear autoregressive processes. The use of KRONECKER'S lemma enables us to avoid any assumptions about integrability and stationarity of the underlying time series
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