Introduction. Statistical Description of the Quality of Processes and Measurements. The Normal Distribution. An Introduction to Hypothesis Testing. Some Important Hypothesis Tests. Analysis of Variance. Control Charts. Straight Line Regression and Calibration. Vectors and Matrices. Multiple and Polynomial Regression. Non-linear Regression. Robust Statistics. Internal Method Validation. Method Validation by Interlaboratory Studies. Other Distributions. The 2×2 Contingency Table. Principal Components. Information Theory. Fuzzy Methods. Process Modelling and Sampling. An Introduction to Experimental Design. Two-level Factorial Designs. Fractional Factorial Designs. Multi-level Designs. Mixture Designs. Other Optimization Methods. Genetic Algorithms and Other Global Search Strategies. Index.
