Author: George A. Milliken
Edition: 2
Publisher: Chapman and Hall/CRC
Binding: Hardcover
ISBN: 1584883340
Analysis of Messy Data Volume 1: Designed Experiments, Second Edition
A bestseller for nearly 25 years, Analysis of Messy Data, Volume 1: Designed Experiments helps applied statisticians and researchers analyze the kinds of data sets encountered in the real world. Medical books Analysis of Messy Data Volume 1. 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.
New to the Second Edition
- Several modern suggestions for multiple comparison procedures
- Additional examples of split-plot designs and repeated measures designs
- The use of SAS-GLM to analyze an effects model
- The use of SAS-MIXED to analyze data in random effects experiments, mixed model experiments, and repeated measures experiments
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 Medical books Analysis Of Messy Data Volume 1: Designed Experiments, Second Edition Milliken,. author dallas e johnson author george a milliken format hardback language english publication year 15 11 2008 subject mathematics sciences subject 2 science general reference title analysis of messy data volume 1 designed experiments second edition author milliken george a author johnson dallas e author publisher crc pr i llc publication date mar 02 2009 pages 674 binding hardcover edition 2 nd dimensions 7 00 wx 10 00 hx 1 25 d isbn 1584883340 subject mathematics probability statistics genera
Download link for Analysis of Messy Data, Volume 1 Designed Experiments, 9781584883340
Medical Book Analysis of Messy Data Volume 1
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.
New to the Second Edition
- Several modern suggestions for multiple comparison procedures
- Additional examples of split-plot designs and repeated measures designs
- The use of SAS-GLM to analyze an effects model
- The use of SAS-MIXED to analyze data in random effects experiments, mixed model experiments, and repeated measures experiments
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.
