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The use of a sequence of experiments, where the design of each may depend on the results of previous experiments, including the possible decision to stop experimenting, is within the scope of sequential analysis, a field that was pioneered [12] by Abraham Wald in the context of sequential tests of statistical hypotheses. [13]
Experimental design is the design of all information-gathering exercises where variation is present, whether under the full control of the experimenter or an observational study. The experimenter may be interested in the effect of some intervention or treatment on the subjects in the design.
John Wiley and Sons, Inc., 1st Edition 1978, 2nd Edition 2005 (ISBN 978-0-471-71813-0) Description: Starting with examples comparing two sets of experimental data, this text explains variance and the calculation of standard deviations, degrees of freedom, the null hypothesis and the "Student's" t-Test by William J. Gosset.
The current Seventh Edition, published in 2004, continues its successful tradition of being used as a textbook in university undergraduate chemical engineering courses. It is widely used in colleges and universities throughout the world, and often referred just "McCabe-Smith-Harriott" or "MSH".
Factorial experimental design software drastically simplifies previously laborious hand calculations needed before the use of computers. During World War II, a more sophisticated form of DOE, called factorial design, became a big weapon for speeding up industrial development for the Allied forces. These designs can be quite compact, involving a
The 2018–2019 ninth edition was edited by Don W. Green and Marylee W. Southard [4] [5] Don Green, the handbook's editor-in-chief, holds a B.S. in petroleum engineering from the University of Tulsa, and M.S. and PhD. Degrees in chemical engineering from the University of Oklahoma. He is Editor of the 6th, 7th and 8th Editions of Perry's.