Technometrics

Article	Citations
A Statistical Approach to Surface Metrology for 3D-Printed Stainless Steel	57
2022 Ziegel Award Announcement	26
Using BART to Perform Pareto Optimization and Quantify its Uncertainties	25
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice	15
Foundations of Statistics for Data Scientists: With R and Python	14
Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning	14
Handbook of Measurement Error Models	14
Statistical Universals of Language: Mathematical Chance vs. Human Choice	13
Advanced Statistical Methods	13
Anomaly Detection in Large-Scale Networks With Latent Space Models	12
Thoughts on Forward-Inverse Maps	12
Statistical GenomicsBrooke Fridley and Xuefeng Wang, New York, NY: Humana, 2023, 377 pp., EUR 169.99, ISBN 978-1-0716-2986-4 (eBook)	12
A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space	12
Modern Data Science with R (2nd ed.)	12
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling	11
Mathematical Analysis and Optimization for Economists	11
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, Forew	11
Likelihood Inference for Possibly Nonstationary Processes via Adaptive Overdifferencing	11
Mathematical Statistics	11
Deep Latent Factor Model for Spatio-Temporal Forecasting	10
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling	8
Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning	8
A Local Variational Inference Framework for the Orthogonal Gaussian Process Calibration	8
Bayesian Semiparametric Local Clustering of Multiple Time Series Data	8
The 2023 Technometrics Prizes	8

Discussion of “Experimental Design and Modeling for Forward-Inverse Maps” by R. Barton & M. Morris, appearing in Technometrics	7
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: 97810032180	7
The ESD Control Program Handbook	7
The 2024 Technometrics Prizes	7
Degradation data analysis based on Wiener process with a nonlinear drift and a stochastic volatility	7
A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation	7
An Adjacency-Adaptive Gaussian Process Method for Sample Efficient Response Surface Modeling and Test-Point Acquisition	7
Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation	7
Bayesian Optimization via Exact Penalty	7
Robust Latent Feature Learning for Incomplete Big Data	6
Detecting Influential Observations in Single-Index Fréchet Regression	6
Applied Regularization Methods for the Social Sciences	6
Constrained Bayesian Optimization with Lower Confidence Bound	6
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	6
Optimal Planning of Destructive Degradation Tests	6
Probability, Choice, and Reason	6
On Statistical Properties of a Veracity Scoring Method for Spatial Data	6
A Subsampling Method for Regression Problems Based on Minimum Energy Criterion	6
Spatio-Temporal Analysis and Prediction of Mass Telecommunication Base Station Failure Events	6
Statistical Modeling of Occupant Behavior Statistical Modeling of Occupant Behavior , JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin	5
A Periodic Fractional Wiener Process for Remaining Useful Life Prediction of Photovoltaic Systems with Long-Range Dependence	5
Correlation in Engineering and the Applied Sciences: Applications in R	5
Manhattan Project: The Story of the Century, by Bruce Cameron Reed. Springer Nature Switzerland AG, 2020,	5
A Sharper Computational Tool for Regression	5
Computational and Analytic Methods in Biological Sciences, 1st ed. Computational and Analytic Methods in Biological Sciences, 1st ed. , Edited by Akshara Makrariya, Braj	5
Probability Modeling and Statistical Inference in Cancer Screening	5
Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models	5
Advanced Engineering Mathematics	5
Cellwise Outlier Detection in Heterogeneous Populations	5
The 2021 Technometrics Prizes	5
Statistics Today: Everyday Applications, Research Questions, Insights, and Challenges	5
Principles of Biostatistics	5
Detecting Changes in Covariance via Random Matrix Theory	4
Kernel-based Sensitivity Analysis for (Excursion) Sets	4
Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates	4
Symbolic Regression	4
A General Framework for Robust Monitoring of Multivariate Correlated Processes	4
Handbook of Statistical Methods for Randomized Controlled Clinical Trials	4
A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly	4
Handbook of Regression Modeling in People Analytics: With Examples in R and Python,	4
Efficient Active Learning Strategies for Computer Experiments	4
Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition	4
Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations	3
Batch Sequential Experimental Design for Calibration of Stochastic Simulation Models	3
Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments	3
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, http	3
Robust Multivariate Functional Control Chart	3
Screening Designs for Continuous and Categorical Factors	3
Text as Data: A New Framework for Machine Learning and the Social Sciences	3
Constructing a Simulation Surrogate with Partially Observed Output	3

Distributed Estimation of Principal Support Vector Machines for Sufficient Dimension Reduction	3
Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection	3
Molecular Networking Statistical Mechanics in the Age of AI and Machine Learning Molecular Networking Statistical Mechanics in the Age of AI and Machine Learning , Edite	3
Modeling Crash Risk on Roadway Networks Using Bayesian Regression Trees	3
Technometrics 2023 Associate Editors	3
Sequential Change-Point Detection for Mutually Exciting Point Processes	3
Transfer Learning with Large-Scale Quantile Regression	3
Towards Improved Heliosphere Sky Map Estimation with Theseus	3
Adventures in Recreational Mathematics, Vol. 1 Adventures in Recreational Mathematics, Vol. 1 , by David Singmaster, Singapore: World Scientific, 2021, 316 pp., $38.00(p	2
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors	2
Functional Outlier Detection for Density-Valued Data with Application to Robustify Distribution-to-Distribution Regression	2
Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data	2
Screening the Discrepancy Function of a Computer Model	2
Machine Learning For Transportation Research and Application	2
Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data	2
Analyzing Spatial Models of Choice and Judgment, Second Edition	2
Maximum One-Factor-At-A-Time Designs for Screening in Computer Experiments	2
Advances in Data Science and Analytics: Concepts and Paradigms (1st ed.)	2
Locally Optimal Design for A/B Tests in the Presence of Covariates and Network Dependence	2
Skew-Normal Model Theories and Their Applications	2
Chance, Logic and Intuition: An Introduction to the Counter-Intuitive Logic of Chance	2
Information Sharing for Robust and Stable Cross-Validation	2
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.	2
(Almost) Impossible Integrals, Sums, and Series (Almost) Impossible Integrals, Sums, and Series , Cornel Ioan Vălean, Cham, Switzerland: Springer Nature Switzerland AG,	2
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior	2
Remaining Useful Life Prediction Based on Forward Intensity	2
Math and Art: An Introduction to Visual Mathematics, 2nd ed.,	2
Rejoinder	1
Inference for the Optimum Using Linear Regression Models with Discrete Inputs	1
Optimal Response Surface Designs for Detection and Minimization of Model Contamination	1
Geometry in Our Three-Dimensional World	1
Directional Statistics for Innovative Applications: A Bicentennial Tribute to Florence Nightingale	1
Remaining Useful Life Prediction of Lithium-Ion Batteries Using Monotone Decomposition	1
Multi-Layer Sliced Design and Analysis with Application to AI Assurance	1
D- andA-Optimal Screening Designs	1
Tolerance Intervals Under a Class of Unbalanced Linear Mixed Models	1
Explanatory Model Analysis: Explore, Explain and Examine Predictive Models,	1
A Proportional Intensity Model with Frailty for Missing Recurrent Failure Data	1
Subjective Well-Being and Social Media: Reconciling Big Data and Statistics	1
The Planetary Atom: A Fictional Account of George Adolphus Schott, the Forgotten Physicist The Planetary Atom: A Fictional Account of George Adolphus Schott, the Forgotten Physicist	1
Sensitivity Prewarping for Local Surrogate Modeling	1
Robust and Multivariate Statistical Methods: Festschrift in Honor of David E. Tyler	1
Robust Covariance Estimation and Explainable Outlier Detection for Matrix-Valued Data	1
Design and Analysis of Computer Experiments with both Numeral and Distributional Inputs	1
The Energy of Data and Distance Correlation, The Energy of Data and Distance Correlation , Gabor J. Szekely and Maria L. Rizzo, Boca Raton, FL: CRC/CRC Press/Chapman &am	1
Ranking Features to Promote Diversity: An Approach Based on Sparse Distance Correlation	1
Temporal Characterization and Filtering of Sensor Data to Support Anomaly Detection	1
Active Sampling: A Machine-Learning-Assisted Framework for Finite Population Inference with Optimal Subsamples	1
Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data Under Data-Sharing Constraints	1
Bivariate DeepKriging for Large-Scale Spatial Interpolation of Wind Fields	1
An Inference Method for Global Sensitivity Analysis	1
Clustered Coefficient Regression Models for Poisson Process with an Application to Seasonal Warranty Claim Data	1
Spectral Clustering on Spherical Coordinates Under the Degree-Corrected Stochastic Blockmodel	1
Novelty and Primacy: A Long-Term Estimator for Online Experiments	1
Measurement Models for Psychological Attributes	1
Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independ	1
Intelligent Fatigue Statistics	1
Active Learning for Deep Gaussian Process Surrogates	1
An Adaptive Multivariate Functional Control Chart	1
Statistical Learning for Nonlinear Dynamical Systems with Applications to Aircraft-UAV Collisions	1
Philosophies, Puzzles and Paradoxes: A Statistician’s Search for Truth	1
Moving Sum Procedure for Change Point Detection under Piecewise Linearity	1
Machine Learning for Knowledge Discovery with R: Methodologies for Modeling, Inference, and PredictionKao-Tai Tsai, Boca Raton, FL: CRC Press, Taylor & Francis Group, LLC, 2022, xiii + 260 pp., $	1
Accelerated Event Times with Multiple Thresholds	1
Value of Information for Healthcare Decision-Making	1
Label-Noise Robust Deep Generative Model for Semi-Supervised Learning	1
Data Science and Machine Learning for Non-Programmers Using SAS Enterprise Miner, 1st ed. Data Science and Machine Learning for Non-Programmers Using SAS Enterprise Miner, 1st ed.	0
Spatial von-Mises Fisher Regression for Directional Data	0
Density Regression with Conditional Support Points	0
Clustering Spatial Data with a Mixture of Skewed Regression Models	0
Practical and Optimal Likelihood Intervals and Regions for Weibull and Gumbel Distributions	0
Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing	0
Statistical Prediction and Machine Learning	0
Federated Multi-Output Gaussian Processes	0
JST-RR Model: Joint Modeling of Ratings and Reviews in Sentiment-Topic Prediction	0
Robust Design for Order-of-Addition Experiments	0
Essential Mathematics for Engineers and Scientists Essential Mathematics for Engineers and Scientists Thomas J. Pence and Indrek S. Wichman, New York: Cambridge Universi	0
Achieving Product Reliability: A Key to Business Success	0
Sequential Designs for Filling Output Spaces	0
Flexible Modeling of Nonstationary Extremal Dependence using Spatially Fused LASSO and Ridge Penalties	0

Robust Low-Rank Tensor Decomposition with the L 2 Criterion	0
Toward Optimal Variance Reduction in Online Controlled Experiments	0
Stochastic Processes with R: An Introduction Stochastic Processes with R: An Introduction , by O. Korosteleva, Boca Raton, FL: Chapman and Hall, CRC Press, 2022, x + 190	0
Factor Importance Ranking and Selection Using Total Indices	0
Efficient Model-Free Subsampling Method for Massive Data	0
OMARS Letter for Technometrics	0
Semiparametric Regression with R	0
PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis	0
A Bayesian Partially Observable Online Change Detection Approach with Thompson Sampling	0
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data	0
On Tracking Varying Bounds When Forecasting Bounded Time Series	0
Assessing Measurement System Agreement in the Presence of Reproducibility and Repeatability	0
Dark Data: Why What You Don’t Know Matters	0
Deep Gaussian Process Emulation using Stochastic Imputation	0
Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional DataPost-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data, Syed Ejaz Ahmed, Feryaal	0
Functional PCA With Covariate-Dependent Mean and Covariance Structure	0
Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments	0
Comment: A Model-Free Method for Input-Output Space-Filling Design	0
Backseat Driver: The Role of Data in Great Car Safety Debates Backseat Driver: The Role of Data in Great Car Safety Debates Norma Faris Hubele, New York: Chapman and Hal	0
A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets	0
Discrepancy Measures for Global Sensitivity Analysis	0
Co-Active Subspace Methods for the Joint Analysis of Adjacent Computer Models	0
Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models	0
Optimal Designs for Order-of-Addition Two-Level Factorial Experiments	0
Polynomial Methods and Incidence Theory Polynomial Methods and Incidence Theory , Adam Sheffer, Cambridge University Press, 2022, 263 pp., $64.99, ISBN: 9781108959988	0
The Effect: An Introduction to Research Design and Causality	0
Sequential Data Integration Under Dataset Shift	0
Ethics in Information Technology: A Practical Guide Ethics in Information Technology: A Practical Guide , G. K. Awari and Sarvesh V. Warjurkar, Boca Raton, FL: CRC Press	0
Real-Time Monitoring of Dynamic Tensor Data with Longitudinal Patterns: A Tensor Graphical LASSO Approach	0
BOPIM: Bayesian Optimization for Influence Maximization on Temporal Networks	0
Linear Source Apportionment Using Generalized Least Squares	0
Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control	0
Artificial Intelligence with Python Artificial Intelligence with Python , Teik Toe Teoh and Zheng Rong, Springer, 2022, 336 pp., EUR 16.99, ISBN 978-981-16-8615-3.	0
Orthogonal Calibration via Posterior Projections with Applications to the Schwarzschild Model	0
Editorial Announcement, V. Roshan Joseph, Editor	0
On Censoring Time in Statistical Monitoring of Lifetime Data	0
Distribution-on-Scalar Single-Index Quantile Regression Model for Handling Tumor Heterogeneity	0
Reliable Post-Signal Fault Diagnosis for Correlated High-Dimensional Data Streams	0
Mathematical Modeling and Soft Computing in Epidemiology Mathematical Modeling and Soft Computing in Epidemiology , Edited by Jyoti Mishra, Ritu Agarwal, and Abdon Atang	0
All the Math You’ll Ever Need: A Self-Teaching Guide (3rd Edition) All the Math You’ll Ever Need: A Self-Teaching Guide ( 3rd Edition )	0
Editor’s Report	0
Modeling Reality with Mathematics	0
Stream-Based Active Learning for Process Monitoring	0
Quantifying Counterfactual Military History Quantifying Counterfactual Military History Brennen Fagan, Ian Horwood, Niall MacKay, Christopher Price, and A. Jamie Wood, B	0
A Multivariate Stochastic Degradation Model for Dependent Performance Characteristics	0
TSEC: A Framework for Online Experimentation under Experimental Constraints	0
A Subsampling Strategy for AIC-based Model Averaging with Generalized Linear Models	0
Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing	0
Basic Statistics and Epidemiology: A Practical Guide (5th Edition) Basic Statistics and Epidemiology: A Practical Guide (5th Edition) , by Antony Stewart, CRC Press, Tay	0
Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional Data	0
Number Systems: A Path into Rigorous Mathematics	0
Linear and Non-Linear System Theory	0
A Spatially Correlated Competing Risks Time-to-Event Model for Supercomputer GPU Failure Data	0
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science, Student ed.Bradley Efron and Trevor Hastie, UK: Cambridge University Press, 2021, xix + 491 pp., $ 39.99 (pbk), ISBN 978-1-1	0
Fractional Cross-Validation for Optimizing Hyperparameters of Supervised Learning Algorithms	0
Detection of Emergent Anomalous Structure in Functional Data	0
Strata Design for Variance Reduction in Stochastic Simulation	0
Response to Letter to the Editor	0
Adaptive Partially Observed Sequential Change Detection and Isolation	0
Bayesian Sequential Design of Computer Experiments for Quantile Set Inversion	0
Targeted Variance Reduction: Effective Bayesian Optimization of Black-Box Simulators with Noise Parameters	0
Assessment of Case Influence in the Lasso with a Case-Weight Adjusted Solution Path	0
Models for Multi-State Survival Data Rates, Risks, and Pseudo-Values, 1st ed.	0
Data Analytics for Process Engineers; Prediction, Control, and Optimization Data Analytics for Process Engineers; Prediction, Control, and Optimization Daniela Galatro a	0
Data-Driven Pathwise Sampling Approaches for Online Anomaly Detection	0
A Graphical Multi-Fidelity Gaussian Process Model, with Application to Emulation of Heavy-Ion Collisions	0
Selection of Two-Level Supersaturated Designs for Main Effects Models	0
Statistical Inference Based on Kernel Distribution Function EstimatorsStatistical Inference Based on Kernel Distribution Function Estimators, Rizky Reza Fauzi and Yoshihiko Maesono, Singapore: Springe	0
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data	0
Applied Microbiome Statistics Correlation, Association, Interaction and Composition, 1st ed	0
Foundations of Statistical Mechanics Foundations of Statistical Mechanics Roman Frigg and Charlotte Werndl, UK: Cambridge University Press, 2024, 84 pp., $22.00, ISBN 97	0
Nonparametric Control Charts for Monitoring Serial Dependence based on Ordinal Patterns	0
A Scalable Variational Bayes Approach to Fit High-dimensional Spatial Generalized Linear Mixed Models	0
Feature Detection and Hypothesis Testing for Extremely Noisy Nanoparticle Images using Topological Data Analysis	0
Statistical Methods in Health Disparity Research Statistical Methods in Health Disparity Research Edited by J. Sunil Rao, Boca Raton, CRC Press, 2023, 298 pp., £120.00,	0
Mathematics of The Big Four Casino Table Games: Blackjack, Baccarat, Craps, & RouletteMark Bollman, Boca Raton, FL: CRC Press/Chapman & Hall, Taylor & Francis Group, 2021, xi +353 pp., 43	0
Fast Robust Location and Scatter Estimation: A Depth-based Method	0
Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports, 2nd ed. Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports, 2nd ed . Wayne L.	0
Book Review	0
A Class of Hierarchical Multivariate Wiener Processes for Modeling Dependent Degradation Data	0
Building Trees for Probabilistic Prediction via Scoring Rules	0
Locally Adaptive Shrinkage Priors for Trends and Breaks in Count Time Series	0
Spatiotemporal Interactive Modeling of Event-Based Dynamic Networks	0
An Adaptive Sampling Strategy for Real-Time Anomaly Detection with Unmanned Sensing Vehicles	0
Drift versus Shift: Decoupling Trends and Changepoint Analysis	0
A General Modeling Framework for Network Autoregressive Processes	0
Signal Classification in Large-Scale Multi-Sequence Integrative Analysis Under the HMM Dependence	0
Adventures in Recreational Mathematics, Vol. 2 Adventures in Recreational Mathematics, Vol. 2 , By David Singmaster, Singapore: World Scientific, 2022, 180 pp., $28.00 (	0
A Dynamic Screening System for Early Detection of Multiple Interconnected Events	0
Applied Machine Learning Using mlr3 in RApplied Machine Learning Using mlr3 in R, Edited by Bernd Bischl, Raphael Sonabend, Lars Kotthoff, and Michel Lang, Boca Raton, FL: CRC Press, Taylor & Fran	0
Dynamic Mixture of Experts Models for Online Prediction	0
Multi-Agent Collaborative Bayesian Optimization via Constrained Gaussian Processes	0
Dual-Orthogonal Arrays for Order-of-Addition Two-Level Factorial Experiments	0
Scalable Methods for Multiple Time Series Comparison in Second Order Dynamics	0
Handbook of Statistical Methods for Randomized Controlled Trials, 1st ed.Edited by KyungMann Kim, Frank Bretz, Ying Kuen K. Cheung, Lisa V. Hampson, New York: Chapman & Hall, 2023, 654 pp., £47.99	0