Statistics in Engineering and Science -- Fundamentals of Statistical Inference -- Inferences on Means and Standard Deviations -- Statistical Principles in Experimental Design -- Factorial Experiments in Completely Randomized Designs -- Analysis of Completely Randomized Designs -- Fractional Factorial Experiments -- Analysis of Fractional Factorial Experiments -- 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 -- Linear Regression with One Predictor Variable -- Linear Regression with Several Predictor Variables -- Linear Regression with Factors and Covariates as Predictors -- Designs and Analyses for Fitting Response Surfaces -- Model Assessment -- Variable Selection Techniques
Summary
Practicing engineers and scientists often have a need to utilize statistical approaches to solving problems in an experimental setting. Yet many have little formal training in statistics. Statistical Design and Analysis of Experiments gives such readers a carefully selected, practical background in the statistical techniques that are most useful to experimenters and data analysts who collect, analyze, and interpret data