Statistical design and analysis of industrial experiments

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Statistical design and analysis of industrial experiments

edited by Subir Ghosh

(Statistics : textbooks and monographs, v. 109)

M. Dekker, c1990

Available at  / 24 libraries

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Includes bibliographical references

Description and Table of Contents

Table of Contents

"Applications Experimental Design for Product Design, Genichi Taguchi Designing Experiments in Research and Development: Four Case Studies, Karen Kafadar Biotechnology Experimental Design, Perry D. Haaland Expert Systems for the Design of Experiments, Chistopher J. Nachisheim, Paul E. Johnson, Kenneth D. Kotnour, Ruth K. Meyer, and Imran A. Zualkernan The Effect of Ozone on Asthmatics and Normals: An Unbalanced ANOVA Example, Thomas J. Lorenzen Sensitivity of an Air Pollution and Health Study to the Choice of a Mortality Index, Diane I. Gibbons and Gary C. McDonald Methods Mixture Experiments, John A. Cornell Response Surface Designs and the Prediction Variance Function, Raymond H. Myers The Analysis of Multiresponse Experiments: A Review, AndrE I. Khuri The Role of Experimentation in Quality Engineering: A Review of Taguchi's Contributions, Vijay N. Nair and Anne C. Shoemaker SEL: A Search Method Based on Orthogonal Arrays, C. F. Jeff Wu, S. S. Mao, and F. S. Ma Modern Factorial Design Theory for Experimenters and Statisticians, Jagdish N. Srivastava New Properties of Orthogonal Arrays and Their Statistical Applications, A. Sam Hedayat Construction of Run Orders of Factorial Designs, Ching-Shui Cheng Methods for Constructing Trend-Resistant Run Orders of 2-Level Factorial Experiments, Mike Jacroux Measuring Dispersion Effects of Factors in Factorial Experiments, Subir Ghosh and Eric S. Lagergren Designing Factorial Experiments: A Survey of the Use of Generalized Cyclic Designs, Angela M. Dean Crossover Designs in Industry, Damaraju Raghavarao "

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