Confidence Interval Estimation of the Conditional Reliability Function for Time Domain Data

The function of conditional reliability gives the probability of successfully implementing another operation following the successful implementation of a previous operation. The prediction of this function can help software developers in determining optimal release times. In this paper, the Maximum Likelihood Estimation (MLE) method is used to estimate the Non-Homogeneous Poisson Process Log-Logistic (NHPP LL) model’s parameters. The upper and the lower bounds of the parameters and conditional reliability function of time domain data are obtained. Real data application is conducted using the coefficient of multiple determination criteria and observed interval length to evaluate the performance of the NHPP LL model and the constructed confidence intervals, respectively. Our results encourage for more assessment of confidence intervals of other measures of reliability of the NHPP models

Gerência e controle probabilístico de estoques de equipamentos

Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia Elétrica.O foco principal deste trabalho é a determinação de uma previsão de consumo para transformadores de distribuição, avaliando o quão econômico possa ser esta análise para o almoxarifado de empresas do setor elétrico. O número de peças sobressalentes ou de reserva, para uma empresa, representa um capital que, n

Computing system reliability modeling, analysis, and optimization

Ph.DDOCTOR OF PHILOSOPH