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Variations on Split Plot and Split Block Experiment Designs

Name: Variations on Split Plot and Split Block Experiment Designs
Brand: John Wiley & Sons Inc
SKU: 04879965
Price: 174.99 EUR
Availability: InStock
Author: Walter Theodore Federer
ISBN: 9780470081495

Walter Theodore Federer

Freedom King

Langue

Anglais

Livre Livre relié

Code Libristo: 04879965

Éditeurs John Wiley & Sons Inc, février 2007

A complete and up-to-date discussion of optimal split plot and split block designs Variations on Sp... Description détaillée

Code Libristo: 04879965

428 b

174.99 € TVA incluse

Stockage externe Expédition sous 14-21 jours

Livraison à Autriche

Jusqu'à 30 jours pour les retours

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A complete and up-to-date discussion of optimal split plot and split block designs Variations on Split Plot and Split Block Experiment Designs provides a comprehensive treatment of the design and analysis of two types of trials that are extremely popular in practice and play an integral part in the screening of applied experimental designs--split plot and split block experiments. Illustrated with numerous examples, this book presents a theoretical background and provides two and three error terms, a thorough review of the recent work in the area of split plot and split blocked experiments, and a number of significant results. Written by renowned specialists in the field, this book features: Discussions of non-standard designs in addition to coverage of split block and split plot designs Two chapters on combining split plot and split block designs and missing observations, which are unique to this book and to the field of study SAS? commands spread throughout the book, which allow readers to bypass tedious computation and reveal startling observations Detailed formulae and thorough remarks at the end of each chapter Extensive data sets, which are posted on the book's FTP site The design and analysis approach advocated in Variations on Split Plot and Split Block Experiment Designs is essential in creating tailor-made experiments for applied statisticians from industry, medicine, agriculture, chemistry, and other fields of study.