Analysis of Messy Data, Volume I

This classic refernce 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. The topics discussed include analysis of variance techniques, such as one- and two-way analyses of variance and multiple-comparison procedures 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.