Handbook for Experimenters ($5.00)
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Douglas C. Montgomery (Arizona State Univ.)

Response Surface Methodology:
Process and Product Optimization Using Designed Experiments, 2nd Edition

Raymond H. Myers (Virginia Polytechnic Institute and State Univ.)
Douglas C. Montgomery (Arizona State Univ.)

ISBN: 0-471-41255-4, Hardcover, 798 pages
Copyright 2002, John Wiley & Sons, Inc.

Coauthored by widely recognized experts in the fields of quality control and the design of experiments, this book is a practical guide to Response Surface Methodology (RSM)—the process of identifying and fitting an appropriate response surface model from experimental data. The authors explain the basics preliminary to a working understanding of the methods described, as well as give clear, step-by-step guidance on the use of powerful statistical and empirical modeling techniques. Numerous real-world examples help illuminate critical points, and chapter-end problems help you to gauge your command of the concepts and procedures described.

Experimental Design for Formulation

Wendell F. Smith

ISBN: 0-89871-580-6, Paperback, 367 pages
Copyright 2005, The American Statistical Association & the Society for Industrial and Applied Mathematics

Experimental Design for Formulation describes a systematic methodology for formulating products so that they perform according to one's goals, providing scientists and engineers with a fast track to the implementation of the methodology. It contains examples from a wide variety of fields and includes a discussion of how to design experiments for a mixture setting and how to fit and interpret models in a mixture setting. It also introduces process variables, and the combining of mixture and non-mixture variables in a designed experiment.

Experiments with Mixtures:
Designs, Models, and the Analysis of Mixture Data, 3rd Edition

John A. Cornell (Univ. of Florida)

ISBN: 0-471-39367-3, Hardcover, 649 pages
Copyright 2002, John Wiley & Sons, Inc.

Experiments with Mixtures shows researchers and students how to design and set up mixture experiments, then analyze the data and draw inferences from the results. Virtually every technique that has appeared in the literature of mixtures can be found here, and computing formulas for each method are provided with completely worked examples. Almost all of the numerical examples are taken from real experiments.

Engineering Statistics, 3rd Edition

Douglas C. Montgomery (Arizona State Univ.)
George C. Runger (Arizona State Univ.)
Norma Faris Hubele (Arizona State Univ.)

This book gives a modern treatment of engineering statistics, focusing on how statistics is integrated into the engineering problem-solving process. All major aspects of engineering statistics are covered, including descriptive statistics, statistical test and confidence intervals for one and two samples, building regression models, designing and analyzing engineering experiments, statistical process control, and some probability and probability distributions.

Engineering Statistics ($80.00)
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Statistical Intervals: A Guide for Practitioners

Gerald J. Hahn (General Electric Company)
William Q. Meeker (Iowa State University)

ISBN: 0-471-88769-2 Hardcover, 392 pages
Copyright 1991, John Wiley & Sons, Inc.

Presents a detailed exposition of statistical intervals and emphasizes applications in industry. The discussion differentiates at an elementary level among different kinds of statistical intervals and gives instruction with numerous examples and simple math on how to construct such intervals from sample data.