Analysis of Messy Data

Analysis of Messy Data

Designed Experiments

by George A. Milliken, Dallas E. Johnson

490 pages· 1993· ISBN 9780412990816
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This classic reference details methods for effectively analyzing non-standard or messy data sets. The authors introduce each topic with examples, follow up with a theoretical discussion, and conclude with a case study. They emphasize the distinction between design structure and the structure of treatments and focus on using the techniques with several statistical packages, including SAS, BMDP, and SPSS.

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