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The design and analysis of experiments.
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Alternative Models for the Analysis of Variance
TL;DR: The terminology of random interactions is defined and illustrated in Section 1. A little historical background not very familiar to statisticians is sketched in Section 2. In Section 3 some difficulties about the formulation of random interaction are discussed and in Section 4 deals with models reflecting a randomization in the experiment to assign the treatment combinations to finite populations of experimental units.
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One hundred years of the design of experiments on and off the pages of Biometrika
Anthony C. Atkinson,R. A. Bailey +1 more
TL;DR: The earliest important papers on planned experiments in Biometrika appeared within a year of each other in 1917 and 1918 as mentioned in this paper and were concerned with design optimality and industrial experiments, the other with agricultural trials and blocking.
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Experiments with mixtures: a review
TL;DR: A review of the literature concerning experiments with mixtures is presented in this article, starting with the work of Scheffe in 1958, the review covers approximately twenty papers in near chronological order, the last appearing in October 1971.
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Asymptotic separability in sensitivity analysis
TL;DR: In this paper, the authors show that the sensitivity analysis problem is asymptotically separable, so that when there are many matched sets a separate optimization may be performed in each matched set and the results combined to yield the correct optimum with negligible error.