Abstract
In the regression design problem with observations which are second order processes the estimation of the mean function involves function space valued random variables. The best unbiased linear estimator of the mean function is found and an exact analogue of the Kiefer-Wolfowitz theorem in design theory is proved.
Citation
M. C. Spruill. W. J. Studden. "A Kiefer-Wolfowitz Theorem in a Stochastic Process Setting." Ann. Statist. 7 (6) 1329 - 1332, November, 1979. https://doi.org/10.1214/aos/1176344850
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