42 citations · 80 across the 5 of their papers we have counts for
7 papers
Direct Nonparametric Predictive Inference Classification Trees
Abdulmajeed Atiah Alharbi, Frank P. A. Coolen, Tahani Coolen-Maturi
Classification is the task of assigning a new instance to one of a set of predefined categories based on the attributes of the instance. A classification tree is one of the most co…
The joint survival signature of coherent systems with shared components
Tahani Coolen-Maturi, Frank P. A. Coolen, Narayanaswamy Balakrishnan
The concept of joint bivariate signature, introduced by Navarro et al. (2013), is a useful tool for quantifying the reliability of two systems with shared components. As with the u…
A monotonicity property of weighted log-rank tests
Tahani Coolen-Maturi, Frank P. A. Coolen
The logrank test is a well-known nonparametric test which is often used to compare the survival distributions of two samples including right censored observations, it is also known…
Reliability analysis of general phased mission systems with a new survival signature
Xianzhen Huang, Louis J. M. Aslett, Frank P. A. Coolen
It is often difficult for a phased mission system (PMS) to be highly reliable, because this entails achieving high reliability in every phase of operation. Consequently, reliabilit…
Robust Bayesian Reliability for Complex Systems under Prior-Data Conflict
Gero Walter, Frank P. A. Coolen
In reliability engineering, data about failure events is often scarce. To arrive at meaningful estimates for the reliability of a system, it is therefore often necessary to also in…
Sets of Priors Reflecting Prior-Data Conflict and Agreement
Gero Walter, Frank P. A. Coolen
In Bayesian statistics, the choice of prior distribution is often debatable, especially if prior knowledge is limited or data are scarce. In imprecise probability, sets of priors a…
Bayesian Nonparametric System Reliability using Sets of Priors
Gero Walter, Louis J. M. Aslett, Frank P. A. Coolen
An imprecise Bayesian nonparametric approach to system reliability with multiple types of components is developed. This allows modelling partial or imperfect prior knowledge on com…