Modern Statistical and Mathematical Methods in Reliability

Передня обкладинка
World Scientific, 2005 - 409 стор.
This volume contains extended versions of 28 carefully selected and reviewed papers presented at The Fourth International Conference on Mathematical Methods in Reliability in Santa Fe, New Mexico, June 21-25, 2004, the leading conference in reliability research. The meeting serves as a forum for discussing fundamental issues on mathematical methods in reliability theory and its applications.A broad overview of current research activities in reliability theory and its applications is provided with coverage on reliability modeling, network and system reliability, Bayesian methods, survival analysis, degradation and maintenance modeling, and software reliability. The contributors are all leading experts in the field and include the plenary session speakers, Tim Bedford, Thierry Duchesne, Henry Wynn, Vicki Bier, Edsel Pena, Michael Hamada, and Todd Graves.
 

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Авторські права

Інші видання - Показати все

Modern Statistical And Mathematical Methods In Reliability
Sallie Keller-mcnulty,Alyson Wilson,Yvonne M Armijo,Nikolaos Limnios
Обмежений попередній перегляд - 2005
Modern Statistical and Mathematical Methods in Reliability
Alyson G. Wilson
Обмежений попередній перегляд - 2005

Загальні терміни та фрази

algorithm applications approach assume assumption asymptotic Bayesian Bayesian Networks BDMP binary blade Block censored data competing risks components conditional consider copula corresponding cost covariates cumulative defined denote density dependence Dirichlet distribution distribution function E-mail estimate event example exponential distribution failed failure intensity failure modes failure probability failure rate flowgraph models game theory given hazard function IEEE independent joint distribution lifetime likelihood likelihood function linear Main_page maintenance marginal distributions Markov Markov chain martingale method mileage minimal monotone multistate nodes observed obtained operational optimal parameters phase phase_2 posterior probabilistic problem proportional hazards model random variables regression models reliability analysis Reliability Engineering repair alert model repair efficiency sample semiparametric solution specified standby unit Statistical stochastic stochastic process structure subsurvival functions switching system failure system reliability t₁ testing Theorem tion transition vehicles warranty Weibull

Бібліографічна інформація

НазваModern Statistical and Mathematical Methods in Reliability
Том 10 з серії Series on quality, reliability & engineering statistics
АвторAlyson G. Wilson
Виданняілюстроване
ВидавецьWorld Scientific, 2005
ISBN9812563563, 9789812563569
Обсяг409 стор.
  
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