Statistics for process control engineers : a practical approach The Basics. Introduction Application to Process Control Process Examples Characteristics of Data Probability Density Function Presenting the Data Sample Size Significance Testing Fitting a Distribution Distribution of Dependent Variables Commonly Used Functions Selected Distributions Extreme Value Analysis Hazard Function CUSUM Regression Analysis Autocorrelation Data Reconciliation Fourier Transform Catalogue of Distributions. Normal Distribution Burr Distribution Logistic Distribution Pareto Distribution Stoppa Distribution Beta Distribution Johnson Distribution Pearson Distribution Exponential Distribution Weibull Distribution Chi Distribution Gamma Distribution Symmetrical Distributions Asymmetrical Distributions Amoroso Distribution Binomial Distribution Other Discrete Distributions Appendix 1: Data Used in Examples Appendix 2: Summary of Distributions