Synopsis
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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Analysis of Messy Data, Volume I: Designed Experiments
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Analysis of Messy Data, Volume I: Designed Experiments
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Analysis of Messy Data, Volume I: Designed Experiments
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Analysis of Messy Data, Volume I: Designed Experiments
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Analysis of Messy Data, Volume I: Designed Experiments
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Analysis of Messy Data: Designed Experiments (Volume 1)
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Analysis of Messy Data, Volume I: Designed Experiments
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Analysis of Messy Data, Volume I: Designed Experiments
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Analysis of Messy Data, Volume I: Designed Experiments
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