Planning of Experiments

David J. Cox

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Optimal Experimental Design Methods Statistical Methods and Applications Simulation Techniques and Applications

Abstract

Offers a comprehensive nonmathematical treatment regarding the design and analysis of experiments, focusing on basic concepts rather than calculation of technical details. Much of the discussion is in terms of examples drawn from numerous fields of applications. Subjects include the justification and practical difficulties of randomization, various factors occurring in factorial experiments, selecting the size of an experiments, different purposes for which observations may be made and much more.

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1987Methods for combining randomized clinical trials: Strengths and limitations 1995The Handbook of Research Synthesis 2004Verification, validation, and predictive capability in computational engineering and physics 1992Taguchi's Parameter Design: A Panel Discussion 1968The External Validity of Experiments 2021Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China 2014THE EDGE OF STIGMA: AN EXPERIMENTAL AUDIT OF THE EFFECTS OF LOW‐LEVEL CRIMINAL RECORDS ON EMPLOYMENT 1984Experimental Design: Review and Comment

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