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Analysis of Messy Data

by: George Milliken

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Binding: Paperback
EAN: 9780442013097
Edition: New Ed
ISBN: 0442013094
Label: Chapman & Hall
Manufacturer: Chapman & Hall
Number Of Items: 1
Number Of Pages: 496
Publication Date: 1992-07
Publisher: Chapman & Hall
Studio: Chapman & Hall

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Editorial Review:
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.

Customer Reviews

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Rating:

- first in a series of books by these authors on messy data
Messy data is data that does fit into the structure to be directly analyzed by the standard methods. In the case of linear models based on designed experiments this can be due to missing data or unbalanced data. The authors do a fabulous job of laying out the various situations that involve methods for handling such problems. By separating the material into three volumes the authors can concentrate on the nitty gritty details as they do here in this volume, the longest of the three.

Rating:

- excellent book to keep
This book is a classical book in data analysis. It provides techniques and methods for effectively analyzing non-standard or messy data sets that arise from experimental design situations. You can always be benefit from the book for your whole life

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