On the nonexistence of a global nonnegative minimum bias invariant quadratic estimator of variance components
Sujuan Gao and
T. M. F. Smith
Statistics & Probability Letters, 1995, vol. 25, issue 2, 117-120
Abstract:
We consider nonnegative invariant quadratic estimation of variance components and prove that if there does not exist a nonnegative quadratic unbiased estimator of variance components, there does not exist a nonnegative invariant quadratic estimator with a global minimum bias. The result demonstrates that any nonnegative invariant quadratic estimator can only achieve local minimum bias and explains existing numerical results.
Keywords: Variance; components; Nonnegative; quadratic; estimator; Minimum; bias (search for similar items in EconPapers)
Date: 1995
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:25:y:1995:i:2:p:117-120
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