4 citations · 5 across the 6 of their papers we have counts for
5 papers · 1 filter
Specifying Prior Distributions in Reliability Applications
Qinglong Tian, Colin Lewis-Beck, Jarad Niemi +1
Especially when facing reliability data with limited information (e.g., a small number of failures), there are strong motivations for using Bayesian inference methods. These includ…
Constructing Prediction Intervals Using the Likelihood Ratio Statistic
Qinglong Tian, Daniel J. Nordman, William Q. Meeker
Statistical prediction plays an important role in many decision processes such as university budgeting (depending on the number of students who will enroll), capital budgeting (dep…
Prediction of Future Failures for Heterogeneous Reliability Field Data
Colin Lewis-Beck, Qinglong Tian, William Q. Meeker
This article introduces methods for constructing prediction bounds or intervals for the number of future failures from heterogeneous reliability field data. We focus on within-samp…
Methods to Compute Prediction Intervals: A Review and New Results
Qinglong Tian, Daniel J. Nordman, William Q. Meeker
This paper reviews two main types of prediction interval methods under a parametric framework. First, we describe methods based on an (approximate) pivotal quantity. Examples inclu…
Predicting the Number of Future Events
Qinglong Tian, Fanqi Meng, Daniel J. Nordman +1
This paper describes prediction methods for the number of future events from a population of units associated with an on-going time-to-event process. Examples include the predictio…