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Existence conditions of the uniformly minimum risk unbiased estimators in extended growth curve models

โœ Scribed by Qi-Guang Wu


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
523 KB
Volume
69
Category
Article
ISSN
0378-3758

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โœฆ Synopsis


Necessary and sufficient existence conditions are derived for the uniformly minimum risk unbiased estimators of the parameters in extended growth curve models with the general covariance matrix or the uniform covariance structure or the serial covariance structure under convex losses and matrix losses, respectively.


๐Ÿ“œ SIMILAR VOLUMES


Existence conditions for the uniformly m
โœ Guo-Qing Yang; Qi-Guang Wu ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 176 KB

This paper studies the existence of the uniformly minimum risk unbiased (UMRU) estimators of parameters in a class of linear models with an error vector having multivariate normal distribution or t-distribution, which include the growth curve model, the extended growth curve model, the seemingly unr