Statistical Distributions in Engineering

ISBN-13: 9780521632324 / Angielski / Twarda / 1999 / 374 str.

Karl Bury

Opis

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 outstanding text 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. Each distribution is worked through typical applications. 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 practicing 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.

Recenzje

'As a reference, the book could serve a great variety of readers, not limited to engineers only, but to all kinds of readers involved in the application of statistics and statistical modelling.' D. Christozov, Measuring Science Technology

Spis treści

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.