Analysis of messy data
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Contributions
- Johnson, Dallas E., 1938- - Contributor
Publication
1984 - Lifetime Learning Publications, Belmont, Calif, California
Language
English
Word Count
118,250 words, Guess
Page Count
473 pages
Identifiers
- Open LibraryOL2839054M
- ISBN-10053402713X
- OCLC Control Number10402804
- OCLC Control Number777326401
- OCLC Control Number36483306
Classifications
- DDC519.5/352
- LCCQA279 .M48 1984
Description
This book helps applied statisticians and researchers analyze the kinds of data sets encountered in the real world. Written by two long-time researchers and professors, this second edition has been fully updated to reflect the many developments that have occurred since the original publication. The book explores various techniques for multiple comparison procedures, random effects models, mixed models, split-plot experiments, and repeated measures designs. The authors implement the techniques using several statistical software packages and emphasize the distinction between design structure and the structure of treatments. They introduce each topic with examples, follow up with a theoretical discussion, and conclude with a case study. Bringing a classic work up to date, this edition will continue to show readers how to effectively analyze real-world, nonstandard data sets.
Subjects
Other Editions
- Analysis of messy data
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