Karl BuryCambridge University PressEdition: Illustrated, 3/11/1999EAN 9780521632324, ISBN10: 0521632323Hardcover, 374 pages, 26.2 x 18 x 2.3 cmLanguage: EnglishEngineers face numerous uncertainties in the design and development of products and processes. To deal with the uncertainties inherent in measured information, they make use of a variety of statistical techniques. This 1999 book presents single-variable statistical distributions that are useful in engineering design and analysis. It lists significant properties of these distributions and describes methods for estimating parameters and their standard errors, constructing confidence intervals, testing hypotheses, and plotting data. Figures are used extensively to clarify concepts. Methods are illustrated by numerous fully worked examples in the form of Mathcad documents that readers can use as templates for their own data, eliminating the need for programming. Intended as both a text and reference, the book assumes an elementary knowledge of calculus and probability. Graduate and advanced undergraduate students, as well as practising engineers and scientists, will be able to use this book to solve practical problems connected with the uncertainty assessment in a wide range of engineering contexts.PrefacePart I. Statistical Background1. Introduction2. Statistics3. InferencePart II. Discrete Distributions4. Introduction to discrete distributions5. Hypergeometric distributions6. Binomial distributions7. Negative binomial distributions8. Poisson distributionsPart III. Continuous Distributions9. Introduction to continuous distributions10. Normal distributions11. Log-Normal distributions12. Exponential distributions13. Gamma distributions14. Beta distributions15. Gumbel distributions16. Frechet distributions17. Weibull distributionsIndex.