首页   按字顺浏览 期刊浏览 卷期浏览 Time series in m-dimensions definition, problems and prospects
Time series in m-dimensions definition, problems and prospects

 

作者: Leo A. Aroian,  

 

期刊: Communications in Statistics - Simulation and Computation  （Taylor Available online 1980）
卷期: Volume 9, issue 5  

页码: 453-465

 

ISSN:0361-0918

 

年代: 1980

 

DOI:10.1080/03610918008812168

 

出版商: Marcel Dekker, Inc.

 

关键词: stationarity;spatial correlation;space-time correlations;moving average models;autoregressive models;spacetime examples

 

数据来源: Taylor

 

摘要:

We define time series in m dimensions x, as follows: the observed variable z depends on and similarly n time series in m variables where f(x,t) and x are vectors. This is the discrete case. The continuous case is similar. Distinction is made between m time series in zero dimension, at a particular point x, and one time series in m dimensions.

 

点击下载:  PDF (1368KB)



返 回