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Applications of Statistics to Industrial Experimentation



Applications of Statistics to Industrial Experimentation

Cuthbert Daniel

ISBN: 978-0-470-31717-4 September 2009 320 Pages


Other volumes in the Wiley Series in Probability and MathematicalStatistics, Ralph A. Bradley, J. Stuart Hunter, David G. Kendall,& Geoffrey S. Watson, Advisory Editors Statistical Models inApplied Science Karl V. Bury Of direct interest to engineers andapplied scientists, this book presents general principles ofstatistics and specific distribution methods and models. Prominentdistribution properties and methods that are useful over a widerange of applications are covered in detail. The strengths andweaknesses of the distributional models are fully described, givingthe reader a firm, intuitive approach to the selection of the modelmost appropriate to the problem at hand. 1975 656 pp. FittingEquations To Data Computer Analysis of Multifactor Data forScientists and Engineers Cuthbert Daniel & Fred S. Wood Withthe assistance of John W. Gorman The purpose of this book is tohelp the serious data analyst, scientist, or engineer with acomputer to: recognize the strengths and limitations of his data;test the assumptions implicit in the least squares methods used tofit the data; select appropriate forms of the variables; judgewhich combinations of variables are most influential; and state theconditions under which the fitted equations are applicable.Throughout, mathematics is kept at the level of college algebra.1971 342 pp. Methods for Statistical Analysis of Reliability AndLife Data Nancy R. Mann, Ray E. Schafer & Nozer D. SingpurwallaThis book introduces failure models commonly used in reliabilityanalysis, and presents the most useful methods for analyzing thelife data of these models. Highlights include: material onaccelerated life testing; a comprehensive treatment of estimationand hypothesis testing; a critical survey of methods forsystem-reliability confidence bonds; and methods for simulation oflife data and for testing fit. 1974 564 pp.

Simple Comparison Experiments.

Two Factors, Each at Two Levels.

Two Factors, Each at Three Levels.

Unreplicated Three-Factor, Two-Level Experiments.

Unreplicated Four-Factor, Two-Level Experiments.

Three Five-Factor, Two-Level Unreplicated Experiments.

Larger Two-Way Layouts.

The Size of Industrial Experiments.

Blocking Factorial Experiments, FractionalReplication--Elementary.

Fractional Replication--Intermediate.

Incomplete Factorials.

Sequences of Fractional Replicates.

Trend-Robust Plans.

Nested Designs.

Conclusions and Apologies.