Statistical Distributions in Engineering. Questo articolo non è disponibile.
Lingua: inglese
Editore: Cambridge University Press, 1999
- Brossura
- Usato

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Fast Free Shipping – Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.
Codice articolo GWV.0521635063.G
- Titolo
- Statistical Distributions in Engineering
- Autore
- Bury, Karl
- Editore
- Cambridge University Press
- Anno di pubblicazione
- 1999
- Condizione
- good
- Rilegatura
- Brossura
- Lingua
- inglese
- ISBN 10
- 0521635063
- ISBN 13
- 9780521635066
This 1999 book presents single-variable statistical distributions useful in solving practical problems in a wide range of engineering contexts.
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Recensione
' ... 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
'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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