A culmination of the author's many years of consulting and
teaching, Design and Analysis of Experiments with SAS provides
practical guidance on the computer analysis of experimental data.
It connects the objectives of research to the type of experimental
design required, describes the actual process of creating the
design and collecting the data, shows how to perform the proper
analysis of the data, and illustrates the interpretation of
results.
Drawing on a variety of application areas, from pharmaceuticals
to machinery, the book presents numerous examples of experiments
and exercises that enable students to perform their own
experiments. Harnessing the capabilities of SAS 9.2, it includes
examples of SAS data step programming and IML, along with
procedures from SAS Stat, SAS QC, and SAS OR. The text also shows
how to display experimental results graphically using SAS ODS
graphics. The author emphasizes how the sample size, the assignment
of experimental units to combinations of treatment factor levels
(error control), and the selection of treatment factor combinations
(treatment design) affect the resulting variance and bias of
estimates as well as the validity of conclusions.
This textbook covers both classical ideas in experimental design
and the latest research topics. It clearly discusses the objectives
of a research project that lead to an appropriate design choice,
the practical aspects of creating a design and performing
experiments, and the interpretation of the results of computer data
analysis. SAS code and ancillaries are available at http:
//lawson.mooo.com
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