Robert L. Mason & Richard F. Gunst 
Statistical Design and Analysis of Experiments [PDF ebook] 
With Applications to Engineering and Science

Emphasizes the strategy of experimentation, data analysis, and the
interpretation of experimental results.

* Features numerous examples using actual engineering and
scientific studies.

* Presents statistics as an integral component of experimentation
from the planning stage to the presentation of the
conclusions.

* Deep and concentrated experimental design coverage, with
equivalent but separate emphasis on the analysis of data from the
various designs.

* Topics can be implemented by practitioners and do not require a
high level of training in statistics.

* New edition includes new and updated material and computer
output.

Tabella dei contenuti

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 Process
Improvement.

PART IV: DESIGN AND ANALYSIS WITH QUANTITATIVE PREDICTORS AND
FACTORS.

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.

Circa l’autore

ROBERT L. MASON, Ph D, is Institute Analyst at Southwest Research
Institute in San Antonio, Texas.

RICHARD F. GUNST, Ph D, is a professor in the Department of
Statistical Science at Southern Methodist University in Dallas,
Texas.

JAMES L. HESS, Ph D, is Staff Vice President, Operations, at
Leggett & Platt Inc. in Carthage, Missouri.