William Q. Meeker

William Q. Meeker

Iowa State University

H-index: 57

North America-United States

About William Q. Meeker

William Q. Meeker, With an exceptional h-index of 57 and a recent h-index of 29 (since 2020), a distinguished researcher at Iowa State University, specializes in the field of Engineering statistics, reliability, statistical computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Specifying prior distributions in reliability applications

Robust Numerical Methods for Nonlinear Regression

Accelerated sarcopenia precedes learning and memory impairments in the P301S mouse model of tauopathies and Alzheimer's disease

Heart Valve Component Fatigue Demonstration Testing Attribute and Variables Demonstration Test Planning and Sample Size Determination

Product reliability: How statistics fits in

A Spatially Correlated Competing Risks Time-to-Event Model for Supercomputer GPU Failure Data

Rejoinder to “Specifying Prior Distribution in Reliability Applications”

製品の信頼性: 統計学がどのように適合するか: 英国王立統計学会 Significance から

William Q. Meeker Information

University

Position

Distinguished Professor of Statistics at

Citations(all)

19312

Citations(since 2020)

5401

Cited By

18107

hIndex(all)

57

hIndex(since 2020)

29

i10Index(all)

148

i10Index(since 2020)

82

Email

University Profile Page

Iowa State University

Google Scholar

View Google Scholar Profile

William Q. Meeker Skills & Research Interests

Engineering statistics

reliability

statistical computing

Top articles of William Q. Meeker

Title

Journal

Author(s)

Publication Date

Specifying prior distributions in reliability applications

Qinglong Tian

Colin Lewis‐Beck

Jarad B Niemi

William Q Meeker

2024/1

Robust Numerical Methods for Nonlinear Regression

arXiv preprint arXiv:2403.12759

Peng Liu

William Q Meeker

2024/3/19

Accelerated sarcopenia precedes learning and memory impairments in the P301S mouse model of tauopathies and Alzheimer's disease

Journal of Cachexia, Sarcopenia and Muscle

Savannah Longo

María Laura Messi

Zhong‐Min Wang

William Meeker

Osvaldo Delbono

2024

Heart Valve Component Fatigue Demonstration Testing Attribute and Variables Demonstration Test Planning and Sample Size Determination

arXiv preprint arXiv:2308.05003

Wayne M Falk

William Q Meeker

2023/8/8

Product reliability: How statistics fits in

Significance

Necip Doganaksoy

William Q Meeker

Gerald J Hahn

2023/4/1

A Spatially Correlated Competing Risks Time-to-Event Model for Supercomputer GPU Failure Data

arXiv preprint arXiv:2303.16369

Jie Min

Yili Hong

William Q Meeker

George Ostrouchov

2023/3/29

Rejoinder to “Specifying Prior Distribution in Reliability Applications”

Applied Stochastic Models in Business and Industry

Qinglong Tian

Colin Lewis‐Beck

Jarad B Niemi

William Q Meeker

2023

製品の信頼性: 統計学がどのように適合するか: 英国王立統計学会 Significance から

統計/「統計」 編集委員会 編

Necip Doganaksoy

William Q Meeker

Gerald J HahnItamar Shatz

2023

Modern statistical models and methods for estimating fatigue-life and fatigue-strength distributions from experimental data

arXiv preprint arXiv:2212.04550

William Q Meeker

Luis A Escobar

Francis G Pascual

Yili Hong

Peng Liu

...

2022/12/8

Quantitative matching of forensic evidence fragments utilizing 3D microscopy analysis of fracture surface replicas

Journal of Forensic Sciences

Bishoy Dawood

Carlos Llosa‐Vite

Geoffrey Z Thompson

Barbara K Lograsso

Lauren K Claytor

...

2022/5

Constructing Prediction Intervals Using the Likelihood Ratio Statistic

INFORMS Journal on Data Science

Qinglong Tian

Daniel J Nordman

William Q Meeker

2022/4

Interpreting p-Values and Confidence Intervals Using Well-Calibrated Null Preference Priors.................... Michael P. Fay, Michael A. Proschan, Erica H. Brittain and Ram …

Statistical Science [ISSN 0883-4237 (print); ISSN 2168-8745 (online)]

Seyoon Ko

Hua Zhou

Jin J Zhou

Joong-Ho Won

Daniel Sanz-Alonso

...

2022/11

Prediction of future failures for heterogeneous reliability field data

Technometrics

Colin Lewis-Beck

Qinglong Tian

William Q Meeker

2022/1/2

Methods to compute prediction intervals: A review and new results

Qinglong Tian

Daniel J Nordman

William Q Meeker

2022/11

Predicting the number of future events

Journal of the American Statistical Association

Qinglong Tian

Fanqi Meng

Daniel J Nordman

William Q Meeker

2022/9/14

Reliability analysis of artificial intelligence systems using recurrent events data from autonomous vehicles

Journal of the Royal Statistical Society Series C: Applied Statistics

Jie Min

Yili Hong

Caleb B King

William Q Meeker

2022/8

Fracture mechanics-based quantitative matching of forensic evidence fragments

arXiv preprint arXiv:2106.04809

Geoffrey Z Thompson

Bishoy Dawood

Tianyu Yu

Barbara K Lograsso

John D Vanderkolk

...

2021/6/9

Bayesian methods for planning accelerated repeated measures degradation tests

Technometrics

Brian P Weaver

William Q Meeker

2021/1/25

I. DEGREES HELD

William Q Meeker Jr

2021/1/2

Comments on “Virtual age, is it real?(Discussing virtual age in reliability context)” by M. Finkelstein and JH Cha

Applied Stochastic Models in Business and Industry

Yili Hong

William Q Meeker

2021/1/1

See List of Professors in William Q. Meeker University(Iowa State University)

Co-Authors

H-index: 59
Philip Dixon

Philip Dixon

Iowa State University

H-index: 59
James McCalley

James McCalley

Iowa State University

H-index: 42
Dianne Cook

Dianne Cook

Monash University

H-index: 28
Leifur Leifsson

Leifur Leifsson

Iowa State University

H-index: 28
Yili Hong

Yili Hong

Virginia Polytechnic Institute and State University

H-index: 24
Ashraf Bastawros

Ashraf Bastawros

Iowa State University

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