A detailed treatment on the use of statistical models representing physical phenomena. Considers the relevance of the popular normal distribution models and the applicability of exponential distribution in reliability problems. Introduces and discusses the use of alternate models such as gamma, beta and Weibull distributions. Features expansive coverage of system performance and describes an exact method known as the transformation of variables. Deals with techniques on assessing the adequacy of a chosen model including both graphical and analytical procedures. Contains scores of illustrative examples, most of which have been adapted from actual problems.
| ISBN: | 9780471040651 |
| Publication date: | 9th May 1994 |
| Author: | Gerald J Hahn, Samuel S Shapiro |
| Publisher: | Wiley-Interscience an imprint of Wiley |
| Format: | Paperback |
| Pagination: | 355 pages |
| Series: | Wiley Classics Library |
| Genres: |
Mathematics |
A detailed treatment on the use of statistical models representing physical phenomena. Considers the relevance of the popular normal distribution models and the applicability of exponential distribution in reliability problems. Introduces and discusses the use of alternate models such as gamma, beta and Weibull distributions. Features expansive coverage of system performance and describes an exact method known as the transformation of variables. Deals with techniques on assessing the adequacy of a chosen model including both graphical and analytical procedures. Contains scores of illustrative examples, most of which have been adapted from actual problems.
Statistical Models in Engineering features in the following genres: Mathematics
Statistical Models in Engineering is available in Paperback
Statistical Models in Engineering was written by Gerald J Hahn, Samuel S Shapiro and published by Wiley-Interscience an imprint of Wiley
Statistical Models in Engineering has 355 pages
Yes it is part of Wiley Classics Library series