William Q. Meeker
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View article: Biofabrication of pheochromocytoma and paraganglioma tumor organoids and assessment of response to systemic therapy
Biofabrication of pheochromocytoma and paraganglioma tumor organoids and assessment of response to systemic therapy Open
Introduction Pheochromocytoma (PCC) and paraganglioma (PG) research is limited due to rarity of disease. We utilized patient-derived tumor organoids (PTOs) to explore personalized treatment options for these patients. Tumors were obtained …
View article: On the Equivalence of Likelihood‐Based Confidence Bands for Fatigue‐Life and Fatigue‐Strength Distributions
On the Equivalence of Likelihood‐Based Confidence Bands for Fatigue‐Life and Fatigue‐Strength Distributions Open
Fatigue data arise in many research and applied areas, and there have been statistical methods developed to model and analyze such data. The distributions of fatigue life and fatigue strength are often of interest to engineers designing pr…
View article: Accelerated sarcopenia precedes learning and memory impairments in the P301S mouse model of tauopathies and Alzheimer's disease
Accelerated sarcopenia precedes learning and memory impairments in the P301S mouse model of tauopathies and Alzheimer's disease Open
Background Alzheimer's disease (AD) impairs cognitive functions and peripheral systems, including skeletal muscles. The PS19 mouse, expressing the human tau P301S mutation, shows cognitive and muscular pathologies, reflecting the central a…
View article: Robust Numerical Methods for Nonlinear Regression
Robust Numerical Methods for Nonlinear Regression Open
Many scientific and engineering applications require fitting regression models that are nonlinear in the parameters. Advances in computer hardware and software in recent decades have made it easier to fit such models. Relative to fitting r…
View article: On Equivalence of Likelihood-Based Confidence Bands for Fatigue-Life and Fatigue-Strength Distributions
On Equivalence of Likelihood-Based Confidence Bands for Fatigue-Life and Fatigue-Strength Distributions Open
Fatigue data arise in many research and applied areas and there have been statistical methods developed to model and analyze such data. The distributions of fatigue life and fatigue strength are often of interest to engineers designing pro…
View article: Rejoinder to “Specifying Prior Distribution in Reliability Applications”
Rejoinder to “Specifying Prior Distribution in Reliability Applications” Open
We response to comments on our paper “Specifying Prior Distributions in Reliability Applications” in this rejoinder.
View article: Heart Valve Component Fatigue Demonstration Testing Attribute and Variables Demonstration Test Planning and Sample Size Determination
Heart Valve Component Fatigue Demonstration Testing Attribute and Variables Demonstration Test Planning and Sample Size Determination Open
The fatigue demonstration test program may be carried out using either the attribute or variables approach. For either approach, a robust test program fulfills the objective of unambiguously demonstrating reliability, as well as, demonstra…
View article: Product reliability: How statistics fits in
Product reliability: How statistics fits in Open
Customers demand and manufacturers strive for increasingly higher product reliability. Statistics plays a key role in achieving this. Necip Doganaksoy, William Q. Meeker and Gerald J. Hahn explain how
View article: A Spatially Correlated Competing Risks Time-to-Event Model for Supercomputer GPU Failure Data
A Spatially Correlated Competing Risks Time-to-Event Model for Supercomputer GPU Failure Data Open
Graphics processing units (GPUs) are widely used in many high-performance computing (HPC) applications such as imaging/video processing and training deep-learning models in artificial intelligence. GPUs installed in HPC systems are often h…
View article: Specifying prior distributions in reliability applications
Specifying prior distributions in reliability applications Open
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 include the option to use information from physics‐of‐failure or …
View article: Modern Statistical Models and Methods for Estimating Fatigue-Life and Fatigue-Strength Distributions from Experimental Data
Modern Statistical Models and Methods for Estimating Fatigue-Life and Fatigue-Strength Distributions from Experimental Data Open
Engineers and scientists have been collecting and analyzing fatigue data since the 1800s to ensure the reliability of life-critical structures. Applications include (but are not limited to) bridges, building structures, aircraft and spacec…
View article: Specifying Prior Distributions in Reliability Applications
Specifying Prior Distributions in Reliability Applications Open
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 include the option to use information from physics-of-failure or …
View article: Quantitative matching of forensic evidence fragments utilizing <scp>3D</scp> microscopy analysis of fracture surface replicas
Quantitative matching of forensic evidence fragments utilizing <span>3D</span> microscopy analysis of fracture surface replicas Open
Silicone casts are widely used by practitioners in the comparative analysis of forensic items. Fractured surfaces carry unique details that can provide accurate quantitative comparisons of forensic fragments. In this study, a statistical a…
View article: Constructing Prediction Intervals Using the Likelihood Ratio Statistic
Constructing Prediction Intervals Using the Likelihood Ratio Statistic Open
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 (depending on the remaining lifetime of a fleet of systems), th…
View article: Fracture Mechanics-Based Quantitative Matching of Forensic Evidence Fragments
Fracture Mechanics-Based Quantitative Matching of Forensic Evidence Fragments Open
Fractured metal fragments with rough and irregular surfaces are often found at crime scenes. Current forensic practice visually inspects the complex jagged trajectory of fractured surfaces to recognize a ``match'' using comparative microsc…
View article: Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles
Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles Open
Artificial intelligence (AI) systems have become increasingly common and the trend will continue. Examples of AI systems include autonomous vehicles (AV), computer vision, natural language processing, and AI medical experts. To allow for s…
View article: Classification With the Matrix-Variate-<i>t</i> Distribution
Classification With the Matrix-Variate-<i>t</i> Distribution Open
Matrix-variate distributions can intuitively model the dependence structure of matrix-valued observations that arise in applications with multivariate time series, spatio-temporal, or repeated measures. This article develops an expectation…
View article: Prediction of Future Failures for Heterogeneous Reliability Field Data
Prediction of Future Failures for Heterogeneous Reliability Field Data Open
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-sample prediction where early data from a failure-time process …
View article: Prediction of Future Failures for Heterogeneous Reliability Field Data
Prediction of Future Failures for Heterogeneous Reliability Field Data Open
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-sample prediction where early data from a failure-time process …
View article: Methods to Compute Prediction Intervals: A Review and New Results
Methods to Compute Prediction Intervals: A Review and New Results Open
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 include the plug-in, pivotal, and calibration methods. Then we d…
View article: Predict Number of Future Failures
Predict Number of Future Failures Open
We describe 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 prediction of warranty returns and the prediction of the number of future pro…
View article: Predicting the Number of Future Events
Predicting the Number of Future Events Open
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 prediction of warranty returns and the prediction of the number of f…
View article: Seasonal warranty prediction based on recurrent event data
Seasonal warranty prediction based on recurrent event data Open
Warranty return data from repairable systems, such as home appliances, lawn mowers, computers and automobiles, result in recurrent event data. The nonhomogeneous Poisson process (NHPP) model is used widely to describe such data. Seasonalit…
View article: Concerns in ID'ing a Suitable Distribution
Concerns in ID'ing a Suitable Distribution Open
Analysis of product lifetime data generally requires fitting a suitable distribution to the data at hand. The fitted distribution is used to estimate quantities of interest, such as the fraction of product failing after various times in se…
View article: Reliability disasters: technical learnings from past mistakes to mitigate and avoid future catastrophes
Reliability disasters: technical learnings from past mistakes to mitigate and avoid future catastrophes Open
When products fail in the field, disasters can result. To head off problems, manufacturers must build reliability into the design of products and processes. Statistics can be used proactively to help improve reliability during product desi…
View article: Applications of the Fractional-Random-Weight Bootstrap
Applications of the Fractional-Random-Weight Bootstrap Open
For several decades, the resampling based bootstrap has been widely used for computing confidence intervals (CIs) for applications where no exact method is available. However, there are many applications where the resampling bootstrap meth…