Bayesian Reliability Analysis for Non-Periodic Inspection with Estimation of Uncertain Parameters

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Architecture-based Reliability Analysis With Uncertain Parameters

Architecture-based reliability analysis has gained prominence in the recent years as a way to predict the reliability of a software application during the design phase, before an investment is made in any implementation. To apply this analysis, the parameters comprising the architectural model must be estimated using the limited data and knowledge available during the design phase. These estima...

متن کامل

A condition-based maintenance policy and input parameters estimation for deteriorating systems under periodic inspection

We study the problem of proposing Condition-Based Maintenance policies for machines and equipments. Our approach combines an optimization model and input parameters estimation from empirical data. The system deterioration is described by discrete states ordered from the state “as good as new” to the state “completely failed”. At each periodic inspection, whose outcome might not be accurate, a d...

متن کامل

Bayesian Estimation of Parameters in the Exponentiated Gumbel Distribution

Abstract: The Exponentiated Gumbel (EG) distribution has been proposed to capture some aspects of the data that the Gumbel distribution fails to specify. In this paper, we estimate the EG's parameters in the Bayesian framework. We consider a 2-level hierarchical structure for prior distribution. As the posterior distributions do not admit a closed form, we do an approximated inference by using ...

متن کامل

Comparison of Maximum Likelihood Estimation and Bayesian with Generalized Gibbs Sampling for Ordinal Regression Analysis of Ovarian Hyperstimulation Syndrome

Background and Objectives: Analysis of ordinal data outcomes could lead to bias estimates and large variance in sparse one. The objective of this study is to compare parameter estimates of an ordinal regression model under maximum likelihood and Bayesian framework with generalized Gibbs sampling. The models were used to analyze ovarian hyperstimulation syndrome data.   Methods: This study use...

متن کامل

bayesian and non-bayesian estimation of stress–strength model for pareto type i distribution

this article examines statistical inference for  where and are independent but not identically distributed pareto of the first kind (pareto (i)) random variables with same scale parameter but different shape parameters. the maximum likelihood, uniformly minimum variance unbiased and bayes estimators with gamma prior are used for this purpose. simulation studies which compare the estimators are ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of the Society of Naval Architects of Japan

سال: 1997

ISSN: 1884-2070,0514-8499

DOI: 10.2534/jjasnaoe1968.1997.357