Description
Book SynopsisOther 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 hi
Table of ContentsIntroduction.
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.
