Technometrics

Article	Citations
2022 Ziegel Award Announcement	64
A Statistical Approach to Surface Metrology for 3D-Printed Stainless Steel	28
Handbook of Measurement Error Models	26
Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning	17
Foundations of Statistics for Data Scientists: With R and Python	17
Statistical Universals of Language: Mathematical Chance vs. Human Choice	16
Advanced Statistical Methods	16
Using BART to Perform Pareto Optimization and Quantify its Uncertainties	16
Modern Data Science with R (2nd ed.)	15
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice	14
Thoughts on Forward-Inverse Maps	13
Statistical GenomicsBrooke Fridley and Xuefeng Wang, New York, NY: Humana, 2023, 377 pp., EUR 169.99, ISBN 978-1-0716-2986-4 (eBook)	13
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	13
Mathematical Analysis and Optimization for Economists	13
A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space	12
Deep Latent Factor Model for Spatio-Temporal Forecasting	11
The 2023 Technometrics Prizes	11
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling	11
Likelihood Inference for Possibly Nonstationary Processes via Adaptive Overdifferencing	11
A Local Variational Inference Framework for the Orthogonal Gaussian Process Calibration	9
Bayesian Semiparametric Local Clustering of Multiple Time Series Data	8
Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation	8
Discussion of “Experimental Design and Modeling for Forward-Inverse Maps” by R. Barton & M. Morris, appearing in Technometrics	8
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling	8
The 2024 Technometrics Prizes	8

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	8
Just Enough Data Science and Machine Learning	8
Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning	8
Degradation Data Analysis based on Wiener Process with a Nonlinear Drift and a Stochastic Volatility	8
Hybrid Smoothing for Anomaly Detection in Time Series	7
Privacy-Aware Gaussian Process Regression	7
On Statistical Properties of a Veracity Scoring Method for Spatial Data	7
The ESD Control Program Handbook	7
An Adjacency-Adaptive Gaussian Process Method for Sample Efficient Response Surface Modeling and Test-Point Acquisition	7
Constrained Bayesian Optimization with Lower Confidence Bound	7
Bayesian Optimization via Exact Penalty	7
An Adaptive Sampling Strategy for Online Monitoring of Partially Observed Networks	7
Robust Latent Feature Learning for Incomplete Big Data	7
A Subsampling Method for Regression Problems Based on Minimum Energy Criterion	7
Optimal Planning of Destructive Degradation Tests	6
Probability, Choice, and Reason	6
Computational and Analytic Methods in Biological Sciences, 1st ed. Computational and Analytic Methods in Biological Sciences, 1st ed. , Edited by Akshara Makrariya, Braj	6
Spatio-Temporal Analysis and Prediction of Mass Telecommunication Base Station Failure Events	6
Detecting Influential Observations in Single-Index Fréchet Regression	6
Applied Regularization Methods for the Social Sciences	6
Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models	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
A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation	6
Probability Modeling and Statistical Inference in Cancer Screening	6
The 2021 Technometrics Prizes	6
Cellwise Outlier Detection in Heterogeneous Populations	5
Statistical Modeling of Occupant Behavior Statistical Modeling of Occupant Behavior , JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin	5
Optimal Experimental Designs for Process Robustness Studies	5
Manhattan Project: The Story of the Century, by Bruce Cameron Reed. Springer Nature Switzerland AG, 2020,	5
Efficient Active Learning Strategies for Computer Experiments	5
Correlation in Engineering and the Applied Sciences: Applications in R	5
A Periodic Fractional Wiener Process for Remaining Useful Life Prediction of Photovoltaic Systems with Long-Range Dependence	5
Principles of Biostatistics	5
Statistics Today: Everyday Applications, Research Questions, Insights, and Challenges	5
Kernel-based Sensitivity Analysis for (Excursion) Sets	4
A Sharper Computational Tool for Regression	4
Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates	4
Handbook of Regression Modeling in People Analytics: With Examples in R and Python,	4
Towards Improved Heliosphere Sky Map Estimation with Theseus	4
A General Framework for Robust Monitoring of Multivariate Correlated Processes	4
Detecting Changes in Covariance via Random Matrix Theory	4
Screening Designs for Continuous and Categorical Factors	4
A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly	4
Handbook of Statistical Methods for Randomized Controlled Clinical Trials	4
Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection	4
Batch Sequential Experimental Design for Calibration of Stochastic Simulation Models	4
Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition	4
Symbolic Regression	4
Text as Data: A New Framework for Machine Learning and the Social Sciences	3
Sequential Change-Point Detection for Mutually Exciting Point Processes	3

Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations	3
Distributed Estimation of Principal Support Vector Machines for Sufficient Dimension Reduction	3
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors	3
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
Robust Multivariate Functional Control Chart	3
Transfer Learning with Large-Scale Quantile Regression	3
Modeling Crash Risk on Roadway Networks Using Bayesian Regression Trees	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
PICS: A Sequential Approach to Obtain Optimal Designs for Nonlinear Models Leveraging Closed-Form Solutions for Faster Convergence	3
Technometrics 2023 Associate Editors	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
Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments	3
Constructing a Simulation Surrogate with Partially Observed Output	3
Information Sharing for Robust and Stable Cross-Validation	3
Chance, Logic and Intuition: An Introduction to the Counter-Intuitive Logic of Chance	3
Tolerance Intervals Under a Class of Unbalanced Linear Mixed Models	2
Analyzing Spatial Models of Choice and Judgment, Second Edition	2
Machine Learning For Transportation Research and Application	2
Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data	2
Skew-Normal Model Theories and Their Applications	2
A Proportional Intensity Model with Frailty for Missing Recurrent Failure Data	2
Bivariate DeepKriging for Large-Scale Spatial Interpolation of Wind Fields	2
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
Remaining Useful Life Prediction Based on Forward Intensity	2
Locally Optimal Design for A/B Tests in the Presence of Covariates and Network Dependence	2
Math and Art: An Introduction to Visual Mathematics, 2nd ed.,	2
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., $	2
Screening the Discrepancy Function of a Computer Model	2
Functional Outlier Detection for Density-Valued Data with Application to Robustify Distribution-to-Distribution Regression	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
Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data	2
(Almost) Impossible Integrals, Sums, and Series (Almost) Impossible Integrals, Sums, and Series , Cornel Ioan Vălean, Cham, Switzerland: Springer Nature Switzerland AG,	2
Spectral Clustering on Spherical Coordinates Under the Degree-Corrected Stochastic Blockmodel	1
Orthogonal Calibration via Posterior Projections with Applications to the Schwarzschild Model	1
Novelty and Primacy: A Long-Term Estimator for Online Experiments	1
Temporal Characterization and Filtering of Sensor Data to Support Anomaly Detection	1
Measurement Models for Psychological Attributes	1
An Inference Method for Global Sensitivity Analysis	1
D- andA-Optimal Screening Designs	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
Robust Covariance Estimation and Explainable Outlier Detection for Matrix-Valued Data	1
An Adaptive Multivariate Functional Control Chart	1
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior	1
Clustered Coefficient Regression Models for Poisson Process with an Application to Seasonal Warranty Claim Data	1
Remaining Useful Life Prediction of Lithium-Ion Batteries Using Monotone Decomposition	1
Active Learning for Deep Gaussian Process Surrogates	1
Selection of Two-Level Supersaturated Designs for Main Effects Models	1
Real-Time Monitoring of Dynamic Tensor Data with Longitudinal Patterns: A Tensor Graphical LASSO Approach	1
Design and Analysis of Computer Experiments with both Numeral and Distributional Inputs	1
Robust Design for Order-of-Addition Experiments	1
Monitoring and Diagnosis for Multi-Mode Processes with Varying Operating Parameters: A Covariate-Adjusted Mixture Bayesian Network Approach	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
Active Sampling: A Machine-Learning-Assisted Framework for Finite Population Inference with Optimal Subsamples	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
Directional Statistics for Innovative Applications: A Bicentennial Tribute to Florence Nightingale	1
Sensitivity Prewarping for Local Surrogate Modeling	1
Multi-Layer Sliced Design and Analysis with Application to AI Assurance	1
Moving Sum Procedure for Change Point Detection under Piecewise Linearity	1
Statistical Learning for Nonlinear Dynamical Systems with Applications to Aircraft-UAV Collisions	1
Accelerated Event Times with Multiple Thresholds	1
Dual-Orthogonal Arrays for Order-of-Addition Two-Level Factorial Experiments	1
Label-Noise Robust Deep Generative Model for Semi-Supervised Learning	1
The Polls Weren’t Wrong	1
Value of Information for Healthcare Decision-Making	1
Robust and Multivariate Statistical Methods: Festschrift in Honor of David E. Tyler	1
Optimal Response Surface Designs for Detection and Minimization of Model Contamination	1
Inference for the Optimum Using Linear Regression Models with Discrete Inputs	1
Intelligent Fatigue Statistics	1
Rejoinder	1
Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data Under Data-Sharing Constraints	1
Philosophies, Puzzles and Paradoxes: A Statistician’s Search for Truth	1
Explanatory Model Analysis: Explore, Explain and Examine Predictive Models,	1
Ranking Features to Promote Diversity: An Approach Based on Sparse Distance Correlation	1
Geometry in Our Three-Dimensional World	1
Polynomial Methods and Incidence Theory Polynomial Methods and Incidence Theory , Adam Sheffer, Cambridge University Press, 2022, 263 pp., $64.99, ISBN: 9781108959988	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
Sequential Data Integration Under Dataset Shift	0
On Censoring Time in Statistical Monitoring of Lifetime Data	0
Building Trees for Probabilistic Prediction via Scoring Rules	0

Strata Design for Variance Reduction in Stochastic Simulation	0
Data Analytics for Process Engineers; Prediction, Control, and Optimization Data Analytics for Process Engineers; Prediction, Control, and Optimization Daniela Galatro a	0
Modeling Reality with Mathematics	0
Targeted Variance Reduction: Effective Bayesian Optimization of Black-Box Simulators with Noise Parameters	0
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data	0
Number Systems: A Path into Rigorous Mathematics	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
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
Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing	0
Noise Resistant Control Charts for Detecting Periodicity from Correlation	0
A Wavelet Lifting Approach for Representing and Denoising Functions on Network Edges	0
Dark Data: Why What You Don’t Know Matters	0
Editorial Announcement, V. Roshan Joseph, Editor	0
A Scalable Gaussian Process for Large-Scale Periodic Data	0
JST-RR Model: Joint Modeling of Ratings and Reviews in Sentiment-Topic Prediction	0
A Class of Hierarchical Multivariate Wiener Processes for Modeling Dependent Degradation Data	0
Flexible Modeling of Nonstationary Extremal Dependence using Spatially Fused LASSO and Ridge Penalties	0
Sequential Designs for Filling Output Spaces	0
Nonparametric Control Charts for Monitoring Serial Dependence based on Ordinal Patterns	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
Clustering Spatial Data with a Mixture of Skewed Regression Models	0
Functional PCA With Covariate-Dependent Mean and Covariance Structure	0
A Multivariate Stochastic Degradation Model for Dependent Performance Characteristics	0
A Subsampling Strategy for AIC-based Model Averaging with Generalized Linear Models	0
Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional Data	0
A Dynamic Screening System for Early Detection of Multiple Interconnected Events	0
Doubly Smoothed Density Estimation with Application on Miners’ Unsafe Act Detection	0
Locally Adaptive Shrinkage Priors for Trends and Breaks in Count Time Series	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
Dynamic Mixture of Experts Models for Online Prediction	0
Fast Robust Location and Scatter Estimation: A Depth-based Method	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
Drift versus Shift: Decoupling Trends and Changepoint Analysis	0
Spatial von-Mises Fisher Regression for Directional Data	0
Assessment of Case Influence in the Lasso with a Case-Weight Adjusted Solution Path	0
Data-Driven Pathwise Sampling Approaches for Online Anomaly Detection	0
Statistical Prediction and Machine Learning	0
Robust Low-Rank Tensor Decomposition with the L 2 Criterion	0
A Scalable Variational Bayes Approach to Fit High-Dimensional Spatial Generalized Linear Mixed Models	0
Applied Microbiome Statistics Correlation, Association, Interaction and Composition, 1st ed	0
Adaptive Partially Observed Sequential Change Detection and Isolation	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
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
Essential Mathematics for Engineers and Scientists Essential Mathematics for Engineers and Scientists Thomas J. Pence and Indrek S. Wichman, New York: Cambridge Universi	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
A Graphical Multi-Fidelity Gaussian Process Model, with Application to Emulation of Heavy-Ion Collisions	0
TSEC: A Framework for Online Experimentation under Experimental Constraints	0
Federated Multi-Output Gaussian Processes	0
Convolutional Non-Homogeneous Poisson Process and its Application to Wildfire Ignition Risk Quantification for Power Delivery Networks	0
Factor Importance Ranking and Selection Using Total Indices	0
Time series models for cultural heritage preservation: The case of the Brunelleschi’s Dome	0
Toward Optimal Variance Reduction in Online Controlled Experiments	0
Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control	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
Spatial Rank-Based Augmentation for Nonparametric Online Monitoring and Adaptive Sampling of Big Data Streams	0
The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs	0
Spatiotemporal Interactive Modeling of Event-Based Dynamic Networks	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
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data	0
Deep Gaussian Process Emulation using Stochastic Imputation	0
Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models	0
A Bayesian Partially Observable Online Change Detection Approach with Thompson Sampling	0
Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments	0
Functional-Ordinal Canonical Correlation Analysis with Application to Data from Optical Sensors	0
Bayesian Sequential Design of Computer Experiments for Quantile Set Inversion	0
Response to Letter to the Editor	0
Density Regression with Conditional Support Points	0
The Effect: An Introduction to Research Design and Causality	0
A General Modeling Framework for Network Autoregressive Processes	0
Scalable Methods for Multiple Time Series Comparison in Second Order Dynamics	0
Linear Source Apportionment Using Generalized Least Squares	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
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
BOPIM: Bayesian Optimization for Influence Maximization on Temporal Networks	0
Comment: A Model-Free Method for Input-Output Space-Filling Design	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
Editor’s Report	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
Signal Classification in Large-Scale Multi-Sequence Integrative Analysis Under the HMM Dependence	0
Response Surface Designs for General Crossed and Nested Multi-Stratum Structures	0
PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis	0
OMARS Letter for Technometrics	0
Editorial: Special Issue on Industry 4.0	0
Design based Global Sensitivity Analysis for Quantity-Permutation Models	0
Soccer Analytics: An Introduction Using R	0
Book Review	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
Semiparametric Regression with R	0
On Tracking Varying Bounds When Forecasting Bounded Time Series	0
An Adaptive Sampling Strategy for Real-Time Anomaly Detection with Unmanned Sensing Vehicles	0
Optimal Designs for Order-of-Addition Two-Level Factorial Experiments	0
Genetic Algorithm-Based Bayesian Optimal Design for Network Experiments	0
Assessing Measurement System Agreement in the Presence of Reproducibility and Repeatability	0
Quantifying Counterfactual Military History Quantifying Counterfactual Military History Brennen Fagan, Ian Horwood, Niall MacKay, Christopher Price, and A. Jamie Wood, B	0
A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets	0