Statistical Distributions in Engineering
(Sprache: Englisch)
Presents single-variable statistical distributions useful in solving practical problems in a wide range of engineering contexts.
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Klappentext zu „Statistical Distributions in Engineering “
Presents single-variable statistical distributions useful in solving practical problems in a wide range of engineering contexts.
Inhaltsverzeichnis zu „Statistical Distributions in Engineering “
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.
Bibliographische Angaben
- Autor: Karl Bury
- 376 Seiten, Maße: 17,8 x 25,4 cm, Kartoniert (TB), Englisch
- Verlag: Cambridge University Press
- ISBN-10: 0521635063
- ISBN-13: 9780521635066
- Erscheinungsdatum: 20.03.2008
Sprache:
Englisch
Rezension zu „Statistical Distributions in Engineering “
' ... the book is well structured and well written, particularly in the stand-alone chapters on the individual distributions ... In summary, if your work or graduate study involves the statistical analysis of engineering data, Statistical Distributions in Engineering provides a good value reference.' J. E. Cooper, Journal of Mechanical Engineering Science 'The book is well written, quite comprehensive and easy to follow. It is highly recommended for graduate students and researchers in engineering as well as practicing engineers and scientists who deal with uncertainty assessment in engineering contexts.' The American Statistician '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
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