John Wiley & Sons Variations on Split Plot and Split Block Experiment Designs Cover A complete and up-to-date discussion of optimal split plot and split block designs Variations on Sp.. Product #: 978-0-470-08149-5 Regular price: $157.94 $157.94 In Stock

Variations on Split Plot and Split Block Experiment Designs

Federer, Walter T. / King, Freedom

Wiley Series in Probability and Statistics

Cover

1. Edition February 2007
288 Pages, Hardcover
Wiley & Sons Ltd

ISBN: 978-0-470-08149-5
John Wiley & Sons

Further versions

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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.

"Variations on Split Plot and Split Block Experiment Designs
reminds me of the classics of design literature, because it
contains a plethora of examples of different situations. This
structure lets the reader either find exactly what is needed, or
something close to it, to build a suitable design. The examples are
geared toward the agricultural statistician... As an industrial
statistician, I am gratified to see the publication of this book."
(Technometrics, May 2010)
WALTER T. FEDERER, PHD, is Liberty Hyde Bailey Professor of
Biological Statistics, Emeritus, at Cornell University. He has held
numerous posts as editor, secretary, and president of various
journals and societies, and he is also a Fellow or member of more
than a dozen local, regional, national, and international
associations. Dr. Federer received the Honor Alumnus Achievement
Award and Honored Alumnus Award from Colorado State University and
the Distinguished Service in Agriculture Award from Kansas State
University.

FREEDOM KING, PHD, is Teaching Support Specialist in the
Department of Biological Statistics and Computational Biology at
Cornell University. His areas of interest include generalized
linear mixed models, experimental designs, categoricaldata
analysis, and statistical computing with an emphasis on work sales
through SAS® programming techniques.

W. T. Federer, Cornell University; F. King, Cornell University