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.

Includes bibliographical references and index.

Online resource; title from digital title page (viewed on November 20, 2017).

Extensively illustrated throughout with line drawings, tables and equations, this guide to statistics was written by and for process control professionals and takes a wholly practical approach to the subject. -- Edited summary from book.