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 2021-06-01 to 2025-06-01.)
ArticleCitations
A Statistical Approach to Surface Metrology for 3D-Printed Stainless Steel115
2022 Ziegel Award Announcement44
Using BART to Perform Pareto Optimization and Quantify its Uncertainties30
Foundations of Statistics for Data Scientists: With R and Python25
Handbook of Measurement Error Models20
Advanced Statistical Methods18
Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning14
Statistical Universals of Language: Mathematical Chance vs. Human Choice13
Modern Data Science with R (2nd ed.)12
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
Statistical GenomicsBrooke Fridley and Xuefeng Wang, New York, NY: Humana, 2023, 377 pp., EUR 169.99, ISBN 978-1-0716-2986-4 (eBook)11
Time Series Clustering and Classification11
Anomaly Detection in Large-Scale Networks With Latent Space Models10
Mathematical Analysis and Optimization for Economists10
Mathematical Statistics10
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, Forew10
Likelihood Inference for Possibly Nonstationary Processes via Adaptive Overdifferencing9
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling9
Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning8
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling8
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
Bayesian Semiparametric Local Clustering of Multiple Time Series Data8
Deep Latent Factor Model for Spatio-Temporal Forecasting8
Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation8
The 2023 Technometrics Prizes8
A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation7
Robust Latent Feature Learning for Incomplete Big Data7
A Subsampling Method for Regression Problems Based on Minimum Energy Criterion7
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks7
An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data7
Constrained Bayesian Optimization with Lower Confidence Bound7
Optimal Planning of Destructive Degradation Tests7
On Statistical Properties of a Veracity Scoring Method for Spatial Data7
The ESD Control Program Handbook7
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
Detecting Influential Observations in Single-Index Fréchet Regression7
Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models6
Sequential Design of Multi-Fidelity Computer Experiments: Maximizing the Rate of Stepwise Uncertainty Reduction6
Probability, Choice, and Reason6
Probability Modeling and Statistical Inference in Cancer Screening6
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
The 2021 Technometrics Prizes6
Spatio-Temporal Analysis and Prediction of Mass Telecommunication Base Station Failure Events6
Correlation in Engineering and the Applied Sciences: Applications in R5
Advanced Engineering Mathematics5
Statistics Today: Everyday Applications, Research Questions, Insights, and Challenges5
Handbook of Regression Modeling in People Analytics: With Examples in R and Python,5
A General Framework for Robust Monitoring of Multivariate Correlated Processes5
Principles of Biostatistics5
A Sharper Computational Tool for Regression5
Detecting Changes in Covariance via Random Matrix Theory5
Cellwise outlier detection in heterogeneous populations5
Manhattan Project: The Story of the Century, by Bruce Cameron Reed. Springer Nature Switzerland AG, 2020,5
Statistical Modeling of Occupant Behavior Statistical Modeling of Occupant Behavior , JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin5
Fast and Exact Leave-One-Out Analysis of Large-Margin Classifiers5
Kernel-based Sensitivity Analysis for (Excursion) Sets5
Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection4
Towards Improved Heliosphere Sky Map Estimation with Theseus4
A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly4
Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition4
Handbook of Statistical Methods for Randomized Controlled Clinical Trials4
Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations4
Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments4
Robust Multivariate Functional Control Chart4
Screening Designs for Continuous and Categorical Factors4
Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates4
Symbolic Regression4
Text as Data: A New Framework for Machine Learning and the Social Sciences4
Modeling Crash Risk on Roadway Networks Using Bayesian Regression Trees4
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
Technometrics 2023 Associate Editors3
Distributed Estimation of Principal Support Vector Machines for Sufficient Dimension Reduction3
Analyzing Spatial Models of Choice and Judgment, Second Edition3
Sequential Change-Point Detection for Mutually Exciting Point Processes3
Transfer Learning with Large-Scale Quantile Regression3
Constructing a Simulation Surrogate with Partially Observed Output3
AI, Machine Learning and Deep Learning a Security PerspectiveEdited by Fei Hu, Xiali Hei, Boca Raton, FL:CRC Press, 2023, 346 pp., 136 B/W Illustrations, GBP 99.99 (Hardback), ISBN 9781032034041, http3
Adventures in Recreational Mathematics, Vol. 1 Adventures in Recreational Mathematics, Vol. 1 , by David Singmaster, Singapore: World Scientific, 2021, 316 pp., $38.00(p3
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors3
Big Data and Social Science: Data Science Methods and Tools for Research and Practice3
Luck, Logic, and White Lies: The Mathematics of Games; 2nd ed.Jörg Bewersdorff, translated by David Kramer, Boca Raton, FL: A.K. Peters/CRC Press, Taylor & Francis Group, 2021, xx + 548 pp., $ 47.3
Chance, Logic and Intuition: An Introduction to the Counter-Intuitive Logic of Chance3
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