Mason / Gunst / Hess Statistical Design and Analysis of Experiments

With Applications to Engineering and Science
2. Auflage 2003
ISBN: 978-0-471-45851-7
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 760 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

Emphasizes the strategy of experimentation, data analysis, and theinterpretation of experimental results.
* Features numerous examples using actual engineering andscientific studies.
* Presents statistics as an integral component of experimentationfrom the planning stage to the presentation of theconclusions.
* Deep and concentrated experimental design coverage, withequivalent but separate emphasis on the analysis of data from thevarious designs.
* Topics can be implemented by practitioners and do not require ahigh level of training in statistics.
* New edition includes new and updated material and computeroutput.

Autoren/Hrsg.

Mason, Robert L.

Gunst, Richard F.

Hess, James L.

Inhaltsverzeichnis

Preface.
PART I: FUNDAMENTAL STATISTICAL CONCEPTS.
Statistics in Engineering and Science.
Fundamentals of Statistical Inference.
Inferences on Means and Standard Deviations.
PART II: DESIGN AND ANALYSIS WITH FACTORIAL STRUCTURE.
Statistical Principles in Experimental Design.
Factorial Experiments in Completely Randomized Designs.
Analysis of Completely Randomized Designs.
Fractional Factorial Experiments.
Analysis of Fractional Factorial Experiments.
PART III: DESIGN AND ANALYSIS WITH RANDOM EFFECTS.
Experiments in Randomized Block Designs.
Analysis of Designs with Random Factor Levels.
Nested Designs.
Special Designs for Process Improvement.
Analysis of Nested Designs and Designs for ProcessImprovement.
PART IV: DESIGN AND ANALYSIS WITH QUANTITATIVE PREDICTORS ANDFACTORS.
Linear Regression with One Predicator Variables.
Linear Regression with Several Predicator Variables.
Linear Regression with Factors and Covariates as Predictors.
Designs and Analyses for Fitting Re sponse Surfaces.
Model Assessment.
Variable Selection Techniques.
Appendix: Statistical Tables.
Index.

Über Autor(innen)

ROBERT L. MASON, PhD, is Institute Analyst at Southwest ResearchInstitute in San Antonio, Texas.
RICHARD F. GUNST, PhD, is a professor in the Department ofStatistical Science at Southern Methodist University in Dallas,Texas.
JAMES L. HESS, PhD, is Staff Vice President, Operations, atLeggett & Platt Inc. in Carthage, Missouri.