Quality by experimental design


Quality by experimental design

Thomas B. Barker

(Quality and reliability, 43)

M. Dekker, c1994

2nd ed., rev. and expanded

  • : acid-free paper

大学図書館所蔵 件 / 8



Includes bibliographical references and index



Elucidating a structure for experimentation that reduces excess expenditure of resources, this book explores the basic philosophy behind experimental design and the organizational aspects necessary to carry out both large- and small-scale endeavors. The author offers summaries of key concepts, end-of-chapter problems, and complete step-by-step examples for all methods and techniques covered. He integrates the robust design methodology introduced by Taguchi as a natural part of the design effort and establishes a criterion for measurement variables. The book presents the mathematical aspects of statistical experimental design in an intuitive rather than a theoretical manner.


THE PHILOSOPHY OF EXPERIMENTATION Why Design Experiments? Organizing the Experiment The Neglected Response Variable STATISTICAL EXPERIMENTAL DESIGN The Factorial 2-Level Design Fractional Factorials at 2 Levels Multi-Level Designs 3-Level Designs Blocking in Factorial Designs Randomized Block and Latin Square Nested Designs Evolutionary Operation SORTING THE SIGNAL FROM THE NOISE Simple Analysis Analysis of Means by Using the Variance YATES Algorithm Matix Algebra Least Squares Analysis Putting ANOVA and Least Squares to Work ANOVA for Blocked and Nested Designs THE DERIVATION OF EMPIRICAL EQUATIONS FROM STATISTICALLY DESIGNED EXPERIMENTS A Case History of an Experimental Investigation UTILIZATION OF EMPIRICAL EQUATIONS Monte Carlo Simulation Case History Completed: The Utilization of the Equation Appendix: Statistical Tables

「Nielsen BookData」 より

関連文献: 1件中  1-1を表示