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Asymptotic efficiency of the OLSE for polynomial regression models with spatially correlated errors

✍ Scribed by Dong Wan Shin; Seuck Heun Song


Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
103 KB
Volume
47
Category
Article
ISSN
0167-7152

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✦ Synopsis


For polynomial regression models with spatially correlated errors, the covariance matrix of the ordinary least-squares estimator (OLSE) is shown to have the same limiting value as that of the generalized least-squares estimator (GLSE) under the same normalization. This implies that the OLSE is asymptotically e cient.


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