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Filtering by: Advisor Seely%2C Justus F. Subject Estimation theory

Large sample efficiencies of invariant quadratic unbiased estimators

Creator:

Poulsen, Neil Kenneth

Abstract:

This dissertation examines limiting efficiencies of quadratic unbiased estimators for the variance in the two variance component mixed model. The set of quadratic unbiased estimators considered includes the minimal complete class. A theorem is proved which shows that, in certain cases, a relatively simple expression converges to the same value...

Resource Type:

Dissertation

Full Text:

INVARIANT QUADRATIC UNBIASED ESTIMATORS Redacted for privacy Abstract approved Justus F. Seely / This
Improving on the intra-block estimator via a nonlinear normal equation estimator

Creator:

El-Arishy, Samia Mosaad Aly

Resource Type:

Dissertation

Full Text:

Nonlinear Normal Equation Estimator Abstract approved: Redacted for privacy Justus F. Seely We consider
Nonlinear unbiased estimators that dominate the intra-block estimator

Creator:

Saleh, Amina Ali Abd El-Fattah

Resource Type:

Dissertation

Full Text:

that Dominate the Intra-block Estimator. Redacted for privacy Abstract approved: Justus F. Seely In
Admissibility in linear models

Creator:

Azzam, Abdul-Mordy Hamed

Resource Type:

Dissertation

Full Text:

. Birkes Redacted for privacy Justus F. Seely (Y. We consider the linear model Y = xp + e where Y is an