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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