In this paper, we discuss different predictors of times to failure of units censored in a hybrid censored sample from exponential distribution. Bayesian and non-Bayesian point predictors for the times to failure of units are obtained. Non-Bayesian prediction Intervals are obtained based on pivotal and highest conditional density methods. Bayesian prediction intervals are also proposed. One real...

It is well-known that large amounts of data are collected and processed during the operation electric submersible pumps. To optimize work mining control center operators, it recommended to use an automated emergency prevention system. In this way, operators will be able receive timely information about possible equipment failures, which in its turn increase service life reduce operating costs f...

Failure prediction methods are becoming sine qua non conditions for effective availability enhancement in complex computer and communication systems. Therefore, there is a growing need for validation, benchmarking and assessment of such methods on real industrial data. Our thesis is that the effectiveness of such methods can be significantly enhanced when combined with fault injection. Then, no...

Financial failure prediction models have been developed by using Logistic Regression (LR) analysis from traditional statistical methods and Data Envelopment Analysis (DEA), which is a mathematically based nonparametric method over the financial reports of the companies traded in The Istanbul Stock Exchange National 100 Index (BIST 100) between the years 2014-2016. In the development of these mo...

In this paper, we discuss dierent predictors of times to failure of units censored in multiple stages in a progressively censored  sample from proportional hazard rate models. The maximum likelihood predictors, best unbiased predictors and conditional median predictors are considered. We also consider Bayesian point predictors for the times to failure of units. A numerical example and a Monte C...

background and objectives: arteriovenous fistula is a popular vascular access method for surgical treatmentof hemodialysis patients. the method, however, is associated with a high rate of early failure varying in the range of 20-60%. predicting early arteriovenous fistula failure and its risk factors can help reduce its incidence, its hospitalization rate, and associated costs. in this study, w...

We present a case study of a difficult real-world pattern recognition problem: predicting hard drive failure using attributes monitored internally by individual drives. We compare the performance of support vector machines (SVMs), unsupervised clustering, and non-parametric statistical tests (rank-sum and reverse arrangements). Somewhat surprisingly, the rank-sum method outperformed the other m...