The Theory of the Design of Experiments

By Dechang Chen. 2001

319 citations recorded by the source corpus.

Subfields: Computational Mechanics, Management Science and Operations Research, Statistics and Probability

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Citations in the corpus

The Econometrics of Randomized Experiments (2016, background): “…draws from a 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…”
A survey on approaches for reliability-based optimization (2010, methodology): “The points to be selected for performing the calibration can be selected using an appropriate design of experiments scheme (see, e.g. Cox and Reid (2000)), such as factorial designs, latin hypercube designs, etc. Additionally, the training points can also be selected adaptively according to the…”
Randomization Inference in a Group–Randomized Trial of Treatments for Depression (2008, unknown): “1; Cox and Reid 2000, sec.”
A modern Bayesian look at the multi-armed bandit (2010, background): “[8]), which surrender the ability to fit certain complex interactions in order to reduce the number of experimental runs.”
T‐optimum designs for discrimination between two multiresponse dynamic models (2005, background): “…are called continuous designs and they are the basis of the modern theory of optimal experiments (Silvey, 1980; Pázman, 1986; Atkinson and Donev, 1992; Fedorov and Hackl, 1997; Walter and Pronzato, 1997; Cox and Reid, 2000) which originates from the seminal work by Kiefer and Wolfowitz (1959).”
Guidelines for the design and statistical analysis of experiments using laboratory animals. (2002, unknown): “…to be explored Special methods are available for designing such experiments without having to use excessively large numbers of animals (Cox 1958: Cox and Reid 2000; Montgomery 1997 This type of design can also be used to optimize experiments that are used repeatedly with only minor changes in…”
The Assistat Software Version 7.7 and its use in the analysis of experimental data (2016, background): “According to Cox and Reid (2000), there is a wide selection of statistical computing packages, and most of these provide the facility for analysis of variance and estimation of treatment contrasts in one form or another.”
Robust discrimination designs (2009, methodology): “Fedorov and Pazman (1968) extended this approach to heteroscedastic models. The construction of static, i.e. non-sequential, designs in non-linear models is more problematic. All such problems must address, in one way or another, the issue that the criterion to be optimized depends on the unknown pa”
USING RANDOMIZATION IN DEVELOPMENT ECONOMICS RESEARCH: A TOOLKIT (2008, methodology): “Very much like controlling for baseline variables ex post, blocking according to variables will improve precision to the extent the variables used for blocking explain the variation in the treatment of interest (Cox and Reid, 2000).”
Multiple randomizations (2006, background): “Intertier interactions are also necessary when the experiment involves an unrandomized factor such as Sites, Centres, Laboratories, Sex or Judges (Brien, 1983; Cox and Reid, 2000; Preece, 2001).”