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Estimation Methods for Models of Spatial Interaction

 

作者: Keith Ord,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1975)
卷期: Volume 70, issue 349  

页码: 120-126

 

ISSN:0162-1459

 

年代: 1975

 

DOI:10.1080/01621459.1975.10480272

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

Autoregressive models for spatial interaction have been proposed by several authors (Whittle [15] and Mead [11], for example). In the past, computational difficulties with the ML approach have led to the use of alternative estimators. In this article, a simplified computational scheme is given and extended to mixed regressive-autoregressive models. The ML estimator is compared with several alternatives.

 

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