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Some aspects of experimental design and analysis when errors are correlated

R. J. MARTIN

Biometrika · 1982 · Volume 69 · Issue 3

DOI: 10.1093/biomet/69.3.597

Abstract

Generalized least squares estimation is considered for some designs on the torus when the errors are assumed to follow a known second-order stationary torus lattice process. Two general types of torus designs, regular and treatment-balanced, are presented. Ordinary least squares is shown to be optimal for regular designs, whilst certain treatment-balanced designs are shown to be optimum under a wide range of optimality criteria. The method of Papadakis is investigated, and shown to have simple solutions for these designs. The relation of a theoretical form of Papadakis's estimator to the generalized least squares estimator for the completely symmetric first-order conditional torus lattice process is considered.

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