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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : Very Good. 2nd Edition. a few light pencil marks. N° de réf. du vendeur 76812
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Vendeur : Donovan Books, Tucson, AZ, Etats-Unis
Hardcover. Etat : Very Good. 2nd Edition. Clean pages. Ships in sturdy cardboard packaging -7. N° de réf. du vendeur 4173
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Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
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Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Hardback. Etat : 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. N° de réf. du vendeur 00109640588
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Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Hardback. Etat : 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. N° de réf. du vendeur 00107428371
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Hardcover. Etat : 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! N° de réf. du vendeur S_467756620
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Vendeur : ThriftBooks-Atlanta, AUSTELL, GA, Etats-Unis
Hardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. N° de réf. du vendeur G1584883340I4N00
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Vendeur : World of Books Inc, Montgomery, IL, Etats-Unis
Hardback. Etat : 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. N° de réf. du vendeur CIN1584883340G
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Vendeur : World of Books Inc, Montgomery, IL, Etats-Unis
Hardback. Etat : 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. N° de réf. du vendeur CIN1584883340VG
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