Design and analysis of industrial experiments

By O. Davies. 1954

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The Econometrics of Randomized Experiments (2016, background): “…variety of literatures, including the statistical literature on the analysis and design of experiments, e.g., Wu and Hamada (2009), Cox and Reid (2000), Altman (1991), Cook and DeMets (2008), Kempthorne (1952, 1955), Cochran and Cox (1957), Davies (1954), and Hinkelman and Kempthorne (2005, 2008).”
Estimating causal effects of treatments in randomized and nonrandomized studies. (1974, background): “'For example, in Davies (1954), a well-known textbook on experimental design in industrial work, randomization is not emphasized. there are currently few well-established causal relationships, its implication—to ignore existing observational data—may be counter-productive.”
Design and Analysis of Experiments (2001, methodology): “A good discussion of the normality assumption is in Appendix 2A of Davies (1956). Suppose we wish to test the hypothesis that the variance of a normal population equals a constant, for example, .”
Bead geometry prediction for robotic GMAW-based rapid manufacturing through a neural network and a second-order regression analysis (2012, background): “The response function representing any of the controllable process parameters can be expressed as (Davies 1978): where Y is the response, e.g. bead width, height, etc.”