contributor author | P. H. Wirsching | |
contributor author | L. H. Jones | |
date accessioned | 2017-05-08T23:01:24Z | |
date available | 2017-05-08T23:01:24Z | |
date copyright | August, 1976 | |
date issued | 1976 | |
identifier issn | 1087-1357 | |
identifier other | JMSEFK-27644#1080_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/89032 | |
description abstract | Use of the Type 1 Extreme Value Distribution of Maxima to design engineering problems is reviewed. Results of a Monte Carlo study of the statistical behavior of the distribution parameter estimators are summarized. The study compares behavior of the method of moment and maximum likelihood estimators, and the results suggest that the method of moment estimators, a simpler algorithm, is but slightly less efficient than the maximum likelihood estimators. An example is given to illustrate how a design engineer uses these results to translate observations into an estimate of “reliability” or “risk”. Moreover, a scheme for obtaining approximate confidence intervals on reliability is presented. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | On The Use of The Extreme Value Distribution in Reliability Analysis and Design | |
type | Journal Paper | |
journal volume | 98 | |
journal issue | 3 | |
journal title | Journal of Manufacturing Science and Engineering | |
identifier doi | 10.1115/1.3439011 | |
journal fristpage | 1080 | |
journal lastpage | 1085 | |
identifier eissn | 1528-8935 | |
keywords | Event history analysis | |
keywords | Design | |
keywords | Reliability | |
keywords | Engineers | |
keywords | Algorithms AND Design engineering | |
tree | Journal of Manufacturing Science and Engineering:;1976:;volume( 098 ):;issue: 003 | |
contenttype | Fulltext | |