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- W2004346039 abstract "For field trials of v varieties in blocks of size k, in the presence of a random trend, data may be analyzed by the nearest-neighbor method based on first differences. The variance components model for this analysis is the linear variance (LV) model. Optimal designs for the case k⩽v were given by Martin et al. (J. Statist Plann. Inference 34 (1993) 433–450) and the case v<k⩽2v by Martin (1998). In this paper, for the general case of any k and v we show that a universally optimal design can be constructed from a semibalanced array if the varieties within blocks are arranged in a particular order. The order does not depend on the magnitudes of the variance components." @default.
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- W2004346039 date "2000-04-01" @default.
- W2004346039 modified "2023-09-26" @default.
- W2004346039 title "Optimal designs for nearest-neighbor analysis" @default.
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- W2004346039 doi "https://doi.org/10.1016/s0378-3758(99)00155-x" @default.
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