Expectation-Maximization Algorithms for Obtaining Estimations of Generalized Failure Intensity Parameters
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 1
Abstract
This paper presents several iterative methods based on Stochastic Expectation-Maximization (EM) methodology in order to estimate parametric reliability models for randomly lifetime data. The methodology is related to Maximum Likelihood Estimates (MLE) in the case of missing data. A bathtub form of failure intensity formulation of a repairable system reliability is presented where the estimation of its parameters is considered through EM algorithm . Field of failures data from industrial site are used to fit the model. Finally, the interval estimation basing on large-sample in literature is discussed and the examination of the actual coverage probabilities of these confidence intervals is presented using Monte Carlo simulation method.
Authors and Affiliations
Makram KRIT, Khaled MILI
Keywords
Related Articles
- EP ID EP117663
- DOI 10.14569/IJACSA.2016.070158
- Views 84
- Downloads 0
A Novel Software Tool for Analysing NTR File System Permissions
Administrating and monitoring New Technology File System (NTFS) permissions can be a cumbersome and convoluted task. In today’s data rich world there has never been a more important time to ensure that data is secured ag...
Wavelet Based Image Retrieval Method
A novel method for retrieving image based on color and texture extraction is proposed for improving the accuracy. In this research, we develop a novel image retrieval method based on wavelet transformation to extract the...
Predicting Garden Path Sentences Based on Natural Language Understanding System
Natural language understanding (NLU) focusing on machine reading comprehension is a branch of natural language processing (NLP). The domain of the developing NLU system covers from sentence decoding to text understanding...
A Second Correlation Method for Multivariate Exchange Rates Forecasting
Foreign exchange market is one of the most complex dynamic market with high volatility, non linear and irregularity. As the globalization spread to the world, exchange rates forecasting become more important and complica...
Tutoring Functions in a Blended Learning System: Case of Specialized French Teaching
There is an emergence of blended learning today which combines diversified teaching methods, alternating distance learning and classroom learning. As a matter of fact, most Moroccan universities are presently aware of th...