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. 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
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.
"synopsis" may belong to another edition of this title.
George A. Milliken, Dallas E. Johnson
A bestseller for nearly 25 years, this resource helps applied statisticians and researchers analyze the kinds of data sets encountered in the real world. This second edition has been fully updated to reflect the many developments that have occurred since the original publication.
"About this title" may belong to another edition of this title.
Seller: SoCo Books, Trinidad, CO, U.S.A.
Hardcover. Condition: Very Good. 2nd Edition. a few light pencil marks. Seller Inventory # 76812
Seller: Donovan Books, Tucson, AZ, U.S.A.
Hardcover. Condition: Very Good. 2nd Edition. Clean pages. Ships in sturdy cardboard packaging -7. Seller Inventory # 4173
Seller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: Fair. 2. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way. Seller Inventory # 1584883340-7-1
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Hardback. Condition: Good. Features a number of developments in the field, including advances in random effects models and refinements to multiple comparison procedures. This work detail how SAS-Mixed, SAS-GLM, and other packages can be used to improve experiment design and model analysis. It is intended for experiment designers and statisticians. Seller Inventory # 00109640588
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Hardback. Condition: Very Good. Features a number of developments in the field, including advances in random effects models and refinements to multiple comparison procedures. This work detail how SAS-Mixed, SAS-GLM, and other packages can be used to improve experiment design and model analysis. It is intended for experiment designers and statisticians. Seller Inventory # 00107428371
Seller: HPB-Red, Dallas, TX, U.S.A.
Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_467756620
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G1584883340I4N00
Seller: World of Books Inc, Montgomery, IL, U.S.A.
Hardback. Condition: Good. Features a number of developments in the field, including advances in random effects models and refinements to multiple comparison procedures. This work detail how SAS-Mixed, SAS-GLM, and other packages can be used to improve experiment design and model analysis. It is intended for experiment designers and statisticians. Seller Inventory # CIN1584883340G
Seller: World of Books Inc, Montgomery, IL, U.S.A.
Hardback. Condition: Very Good. Features a number of developments in the field, including advances in random effects models and refinements to multiple comparison procedures. This work detail how SAS-Mixed, SAS-GLM, and other packages can be used to improve experiment design and model analysis. It is intended for experiment designers and statisticians. Seller Inventory # CIN1584883340VG
Seller: GoldBooks, Denver, CO, U.S.A.
Hardcover. Condition: new. New Copy. Customer Service Guaranteed. Seller Inventory # 77S37_84_1584883340