Experiments : planning, analysis, and parameter design optimization
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Bibliographic Information
Experiments : planning, analysis, and parameter design optimization
（Wiley series in probability and mathematical statistics, . Text and references section）
J. Wiley, c2000
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"A Wiley-Interscience publication." -- T.p.
Includes bibliographical references and indexes
Description and Table of Contents
Description
Experimental design is one of the most important subjects in statistics. Used in experimental investigations, statistically designed experiments are also a key tool for improving quality in industry and manufacturing. This practical book modernizes experimentation to develop a new system of design and analysis to define the area for years to come. The title's inclusion of modern, never--seen--before topics is compelling and the book will make an excellent complement to Wiley's best--selling Statistics for Experimenters.
Table of Contents
Basic Principles and Experiments with a Single Factor. Experiments With More Than One Factor. Full Factorial Experiments at Two Levels. Fractional Factorial Experiments at Two Levels. Full Factorial and Fractional Factorial Experiments at Three Levels. Other Design and Analysis Techniques for Experiments at More Than Two Levels. Nonregular Designs: Construction and Properties. Experiments with Complex Aliasing. Response Surface Methodology. Introduction to Robust Parameter Design. Robust Parameter Design for Signal-Response Systems. Experiments for Improving Reliability. Experiments With Nonnormal Data. Appendices. Indexes.
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