Robust Designs and Optimality of Least Squares for Regression Problems
Article Abstract:
Bias minimization is achieved in a linear least squares estimator. The corresponding designs are optimal. When least squares estimators with symmetric design do not lead to an optimal solution, the relative efficiency of optimal least squares is not diminishing and has a uniform lower bound.
Publication Name: Journal of Statistical Planning and Inference
Subject: Business
ISSN: 0378-3758
Year: 1984
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A Characterization of a Universally Optimal Design within a Class of Block Designs
Article Abstract:
A completely symmetric information matrix results from a class of connected binary designs. Characterization is obtained from arbitrary block sizes and arbitrary replications using a symmetric balanced incomplete block design. Universal optimality is achieved.
Publication Name: Journal of Statistical Planning and Inference
Subject: Business
ISSN: 0378-3758
Year: 1984
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On the D-Optimality of Group Divisible Designs
Article Abstract:
Formulation is provided for the d-optimality of certain types of proper block designs. Parameters are obtained for connected group divisible designs. Optimization within classes is achieved.
Publication Name: Journal of Statistical Planning and Inference
Subject: Business
ISSN: 0378-3758
Year: 1984
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