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Arts & Design Variations on Split Plot and Split Block Experiment Designs (Wiley Series in Probability and Statistics)

Posted on 2010-04-13




Name:Arts & Design Variations on Split Plot and Split Block Experiment Designs (Wiley Series in Probability and Statistics)
ASIN/ISBN:047008149X
Author:Walter T. Federer, Freedom King
Publisher:Wiley-Interscience (2007)
Language:English
Pages:Hardcover, 270 pages
File size:3.58 Mb
   Arts & Design Variations on Split Plot and Split Block Experiment Designs (Wiley Series in Probability and Statistics)


Author: Walter T. Federer, Freedom King


Publisher: Wiley-Interscience (2007)


Binding: Hardcover, 270 pages


pricer: $110.00


ISBN-10: 047008149X


editorialreviews

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.




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