Technometrics

Papers
(The TQCC of Technometrics is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-08-01 to 2025-08-01.)
ArticleCitations
A Statistical Approach to Surface Metrology for 3D-Printed Stainless Steel47
2022 Ziegel Award Announcement25
Using BART to Perform Pareto Optimization and Quantify its Uncertainties21
Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning21
Handbook of Measurement Error Models14
Foundations of Statistics for Data Scientists: With R and Python14
Statistical Universals of Language: Mathematical Chance vs. Human Choice13
Advanced Statistical Methods13
Anomaly Detection in Large-Scale Networks With Latent Space Models12
Modern Data Science with R (2nd ed.)12
The Science of Hockey: The Math, Technology, and Data Behind the Sport The Science of Hockey: The Math, Technology, and Data Behind the Sport Edited by Kevin Snow, Forew12
Statistical GenomicsBrooke Fridley and Xuefeng Wang, New York, NY: Humana, 2023, 377 pp., EUR 169.99, ISBN 978-1-0716-2986-4 (eBook)12
Mathematical Analysis and Optimization for Economists12
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice12
A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space11
Thoughts on Forward-Inverse Maps11
Deep Latent Factor Model for Spatio-Temporal Forecasting10
Mathematical Statistics10
The 2023 Technometrics Prizes10
Likelihood Inference for Possibly Nonstationary Processes via Adaptive Overdifferencing9
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling9
An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data8
Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning8
Discussion of “Experimental Design and Modeling for Forward-Inverse Maps” by R. Barton & M. Morris, appearing in Technometrics8
Bayesian Semiparametric Local Clustering of Multiple Time Series Data8
Hands-On Data Science for Librarians Hands-On Data Science for Librarians Sarah Lin and Dorris Scott, Boca Raton, FL: CRC Press, 2023, 200 pp., $69.95, ISBN: 978100321808
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling8
The ESD Control Program Handbook7
Constrained Bayesian Optimization with Lower Confidence Bound7
A Subsampling Method for Regression Problems Based on Minimum Energy Criterion7
A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation7
Optimal Planning of Destructive Degradation Tests7
Robust Latent Feature Learning for Incomplete Big Data7
Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation7
Bayesian Optimization via Exact Penalty7
A Course in the Large Sample Theory of Statistical InferenceA Course in the Large Sample Theory of Statistical Inference, W. J. Hall and D. Oakes, Boca Raton, FL: Chapman and Hall, CRC Press, 2024, x 7
Spatio-Temporal Analysis and Prediction of Mass Telecommunication Base Station Failure Events6
Detecting Influential Observations in Single-Index Fréchet Regression6
Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models6
Probability, Choice, and Reason6
On Statistical Properties of a Veracity Scoring Method for Spatial Data6
Computational and Analytic Methods in Biological Sciences, 1st ed. Computational and Analytic Methods in Biological Sciences, 1st ed. , Edited by Akshara Makrariya, Braj6
Applied Regularization Methods for the Social Sciences6
Statistics Today: Everyday Applications, Research Questions, Insights, and Challenges5
Principles of Biostatistics5
Statistical Modeling of Occupant Behavior Statistical Modeling of Occupant Behavior , JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin5
Manhattan Project: The Story of the Century, by Bruce Cameron Reed. Springer Nature Switzerland AG, 2020,5
The 2021 Technometrics Prizes5
Cellwise Outlier Detection in Heterogeneous Populations5
Correlation in Engineering and the Applied Sciences: Applications in R5
Fast and Exact Leave-One-Out Analysis of Large-Margin Classifiers5
Probability Modeling and Statistical Inference in Cancer Screening5
A Periodic Fractional Wiener Process for Remaining Useful Life Prediction of Photovoltaic Systems with Long-Range Dependence5
Advanced Engineering Mathematics5
A Sharper Computational Tool for Regression5
Towards Improved Heliosphere Sky Map Estimation with Theseus4
Robust Multivariate Functional Control Chart4
A General Framework for Robust Monitoring of Multivariate Correlated Processes4
Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection4
Batch Sequential Experimental Design for Calibration of Stochastic Simulation Models4
Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations4
Symbolic Regression4
Kernel-based Sensitivity Analysis for (Excursion) Sets4
Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates4
A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly4
Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition4
Detecting Changes in Covariance via Random Matrix Theory4
Handbook of Statistical Methods for Randomized Controlled Clinical Trials4
Handbook of Regression Modeling in People Analytics: With Examples in R and Python,4
Text as Data: A New Framework for Machine Learning and the Social Sciences3
Technometrics 2023 Associate Editors3
Molecular Networking Statistical Mechanics in the Age of AI and Machine Learning Molecular Networking Statistical Mechanics in the Age of AI and Machine Learning , Edite3
Screening Designs for Continuous and Categorical Factors3
Transfer Learning with Large-Scale Quantile Regression3
Constructing a Simulation Surrogate with Partially Observed Output3
Modeling Crash Risk on Roadway Networks Using Bayesian Regression Trees3
Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments3
Distributed Estimation of Principal Support Vector Machines for Sufficient Dimension Reduction3
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