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.