Book: Design and Analysis of Experiments with SAS

(CRC Press: Boca Raton, FL) -- The new book, Design and Analysis of Experiments with SAS, is a culmination of author John Lawson’s many years of consulting and teaching. It provides practical guidance on the computer analysis of experimental data. The book 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.

Features

• Emphasizes the connection between experimental units, the way treatments are randomized to experimental units, and the proper error term for an analysis of data

• Uses SAS 9.2 throughout to illustrate the construction of experimental designs and data analysis  

• Provides uniform coverage on experimental designs and design concepts that are most commonly used in practice

• Presents many applications from the pharmaceutical, agricultural, industrial chemicals, and machinery industries

• Includes exercises at the end of every chapter

• Offers all the SAS codes, for example on http://lawson.mooo.com/

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.  

Published May 4 by CRC Press, Design and analysis of Experiments with SAS is part of the Chapman & Hall/CRC Texts in Statistical Science series.

Chapters 

Completely Randomized Designs with One Factor

Factorial Designs

Randomized Block Designs

Designs to Study Variances

Fractional Factorial Designs

Incomplete and Confounded Block Designs

Split-Plot Designs

Crossover and Repeated Measures Designs
Response Surface Designs
Mixture Experiments
Robust Parameter Design Experiments
Experimental Strategies for Increasing Knowledge

John Lawson, Ph.D., has taught at Brigham Young University (BYU) since 1986, most often in courses on reliability, advanced experimental design, and quality improvement for industry; he also advises quality science undergraduates. Lawson is the faculty advisor for the BYU Student Section of the American Society for Quality (ASQ).

Prior to his teaching career, Lawson worked in industry for 15 years as a senior biostatistician at Johnson & Johnson, the manager of Corporation Statistics Group, and the internal consultant for the FMC Corp. in Princeton, New Jersey. He continues to consult through the Center for Statistical Research, and for several corporations.

Lawson received his doctorate in statistics in 1984 at the Polytechnic Institute in New York. He received two master of science degrees in statistics, one at Rutgers University in 1978, and the other at Brigham Young University in 1971. His bachelor of science degree, which he received in 1969, was also in statistics.

About The Author