Statistical Distributions in Engineering
Cambridge University Press
Edition: Illustrated, 3/11/1999
EAN 9780521632324, ISBN10: 0521632323
Hardcover, 374 pages, 26.2 x 18 x 2.3 cm
Language: English
Engineers 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.
Preface
Part I. Statistical Background
1. Introduction
2. Statistics
3. Inference
Part II. Discrete Distributions
4. Introduction to discrete distributions
5. Hypergeometric distributions
6. Binomial distributions
7. Negative binomial distributions
8. Poisson distributions
Part III. Continuous Distributions
9. Introduction to continuous distributions
10. Normal distributions
11. Log-Normal distributions
12. Exponential distributions
13. Gamma distributions
14. Beta distributions
15. Gumbel distributions
16. Frechet distributions
17. Weibull distributions
Index.