Abstract
Although everyone agrees on the importance of the planning or design phase in actual experimentation, and the consequences of poor design decisions for subsequent statistical analysis, this point of view is not adequately reflected in current software. In many of the well-known statistical packages, support for design aspects is lacking or marginal compared to the support for analysis.
On the other hand, many separate (and less well known) programs have been developed that deal specifically with design problems, often in a restricted area (e.g. quality control, variety trials, ...). Recently, the number of these programs has grown considerably, and many of the well-known packages have added modules that specifically support some design aspects. In this paper we try to give a broad overview of what is currently available.
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© 1994 Springer-Verlag Berlin Heidelberg
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Darius, P.L. (1994). Software for the Design of Experiments — a Comparative Overview. In: Dutter, R., Grossmann, W. (eds) Compstat. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-52463-9_42
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DOI: https://doi.org/10.1007/978-3-642-52463-9_42
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-0793-6
Online ISBN: 978-3-642-52463-9
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