Bayesian Estimation of Defects based on Defect Decay Model: BayesED3M
نویسندگان
چکیده
The estimation of the total number of defects at early stages of the testing process helps managers to make resource allocation and deadline decisions. The use of nonbayesian approaches has proven to be accurate but presents a certain latency to achieve a reasonable accuracy. Here we describe BayesED3M , a bayesian estimator construct upon an existing MLE (Maximum Likelihood Estimator) named as ED3M . The case studies presented in this paper show that BayesED3M outperforms ED3M whenever reasonable historical data is available.
منابع مشابه
Study of Stone-wales Defect on Elastic Properties of Single-layer Graphene Sheets by an Atomistic based Finite Element Model
In this paper, an atomistic based finite element model is developed to investigate the influence of topological defects on mechanical properties of graphene. The general in-plane stiffness matrix of the hexagonal network structure of graphene is found. Effective elastic modulus of a carbon ring is determined from the equivalence of molecular potential energy related to stretch and angular defor...
متن کاملGeometry Parameters Estimation of Defects in Multi-layered Structures Based on Eddy Current Nondestructive Testing Technique with Bayesian Networks
To determine the geometry parameters of defects in multi-layered structures is one of the principal challenges in the research field of eddy current nondestructive testing. For buried defects the direct observation of the values of these geometry parameters is practically impossible. So it is necessary to estimate such values. Bayesian networks (BNs) have been proved to be a potentially useful ...
متن کاملA One-Stage Two-Machine Replacement Strategy Based on the Bayesian Inference Method
In this research, we consider an application of the Bayesian Inferences in machine replacement problem. The application is concerned with the time to replace two machines producing a specific product; each machine doing a special operation on the product when there are manufacturing defects because of failures. A common practice for this kind of problem is to fit a single distribution to the co...
متن کاملInference of Markov Chain: AReview on Model Comparison, Bayesian Estimation and Rate of Entropy
This article has no abstract.
متن کاملEstimation of genetic parameters of litter size in Moghani sheep using threshold model via Bayesian approach
This study was conducted to estimate the genetic parameters of litter size (LS) in Moghani sheep using threshold model via Bayesian approach. The data originated from the Jafar-Abad Station of Ardabil province, Iran, and included 9698 lactation records of 4977 ewes with lambings from 1995 until 2010. The pedigree file consisted of data on animals born from 1987 to 2010. The significance of fixe...
متن کامل