Technometrics

Article	Citations
A Statistical Approach to Surface Metrology for 3D-Printed Stainless Steel	108
Statistical Universals of Language: Mathematical Chance vs. Human Choice	43
2022 Ziegel Award Announcement	28
Modern Data Science with R (2nd ed.)	24
Using BART to Perform Pareto Optimization and Quantify its Uncertainties	19
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice	17
Foundations of Statistics for Data Scientists: With R and Python	12
Handbook of Measurement Error Models	12
Time Series Clustering and Classification	11
Advanced Statistical Methods	11
Statistical GenomicsBrooke Fridley and Xuefeng Wang, New York, NY: Humana, 2023, 377 pp., EUR 169.99, ISBN 978-1-0716-2986-4 (eBook)	11
Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning	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	10
Anomaly Detection in Large-Scale Networks With Latent Space Models	9
High-Dimensional Cost-constrained Regression Via Nonconvex Optimization	9
Mathematical Statistics	9
A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space	9
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling	8
Likelihood Inference for Possibly Nonstationary Processes via Adaptive Overdifferencing	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
Deep Latent Factor Model for Spatio-Temporal Forecasting	8
The 2023 Technometrics Prizes	8
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling	8
An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data	7

Bayesian Semiparametric Local Clustering of Multiple Time Series Data	7
Constrained Bayesian Optimization with Lower Confidence Bound	7
A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation	7
Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning	7
The ESD Control Program Handbook	7
Detecting Influential Observations in Single-Index Fréchet Regression	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	7
Spatio-Temporal Analysis and Prediction of Mass Telecommunication Base Station Failure Events	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
Computational and Analytic Methods in Biological Sciences, 1st ed. Computational and Analytic Methods in Biological Sciences, 1st ed. , Edited by Akshara Makrariya, Braj	6
Optimal Planning of Destructive Degradation Tests	6
Probability, Choice, and Reason	6
Applied Regularization Methods for the Social Sciences	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
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks	6
Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models	5
Statistics Today: Everyday Applications, Research Questions, Insights, and Challenges	5
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, Selin	5
Sequential Design of Multi-Fidelity Computer Experiments: Maximizing the Rate of Stepwise Uncertainty Reduction	5
Correlation in Engineering and the Applied Sciences: Applications in R	5
Advanced Engineering Mathematics	5
Principles of Biostatistics	5
Probability Modeling and Statistical Inference in Cancer Screening	5
The 2021 Technometrics Prizes	5
A Sharper Computational Tool for Regression	5
A General Framework for Robust Monitoring of Multivariate Correlated Processes	4
Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection	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
Modeling Crash Risk on Roadway Networks Using Bayesian Regression Trees	4
Fast and Exact Leave-One-Out Analysis of Large-Margin Classifiers	4
Handbook of Regression Modeling in People Analytics: With Examples in R and Python,	4
Symbolic Regression	4
Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations	4
Robust Multivariate Functional Control Chart	4
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	4
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
Towards Improved Heliosphere Sky Map Estimation with Theseus	4
Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition	4
Screening Designs for Continuous and Categorical Factors	4
Transfer Learning with Large-Scale Quantile Regression	3
Sequential Change-Point Detection for Mutually Exciting Point Processes	3
Constructing a Simulation Surrogate with Partially Observed Output	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

Technometrics 2023 Associate Editors	3
Big Data and Social Science: Data Science Methods and Tools for Research and Practice	3
Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments	3
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors	3
Distributed Estimation of Principal Support Vector Machines for Sufficient Dimension Reduction	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
Remaining Useful Life Prediction Based on Forward Intensity	2
Chance, Logic and Intuition: An Introduction to the Counter-Intuitive Logic of Chance	2
Locally Optimal Design for A/B Tests in the Presence of Covariates and Network Dependence	2
PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models	2
Screening the Discrepancy Function of a Computer Model	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
Maximum One-Factor-At-A-Time Designs for Screening in Computer Experiments	2
Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data	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
Advances in Data Science and Analytics: Concepts and Paradigms (1st ed.)	2
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior	2
Tolerance Intervals Under a Class of Unbalanced Linear Mixed Models	2
Math and Art: An Introduction to Visual Mathematics, 2nd ed.,	2
Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data	2
Analyzing Spatial Models of Choice and Judgment, Second Edition	2
Functional Outlier Detection for Density-Valued Data with Application to Robustify Distribution-to-Distribution Regression	2
A Proportional Intensity Model with Frailty for Missing Recurrent Failure Data	2
Moving Sum Procedure for Change Point Detection under Piecewise Linearity	2
Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data Under Data-Sharing Constraints	2
Value of Information for Healthcare Decision-Making	1
Measurement Models for Psychological Attributes	1
Design and Analysis of Computer Experiments with both Numeral and Distributional Inputs	1
Accelerated Event Times with Multiple Thresholds	1
(Almost) Impossible Integrals, Sums, and Series (Almost) Impossible Integrals, Sums, and Series , Cornel Ioan Vălean, Cham, Switzerland: Springer Nature Switzerland AG,	1
Temporal Characterization and Filtering of Sensor Data to Support Anomaly Detection	1
Active Learning for Deep Gaussian Process Surrogates	1
SPlit: An Optimal Method for Data Splitting	1
Selection of Two-Level Supersaturated Designs for Main Effects Models	1
Robust Design for Order-of-Addition Experiments	1
Subjective Well-Being and Social Media: Reconciling Big Data and Statistics	1
Sensitivity Prewarping for Local Surrogate Modeling	1
Intelligent Fatigue Statistics	1
Novelty and Primacy: A Long-Term Estimator for Online Experiments	1
Learning Microeconometrics with R	1
Ranking Features to Promote Diversity: An Approach Based on Sparse Distance Correlation	1
Clustered Coefficient Regression Models for Poisson Process with an Application to Seasonal Warranty Claim Data	1
Statistical Learning for Nonlinear Dynamical Systems with Applications to Aircraft-UAV Collisions	1
Directional Statistics for Innovative Applications: A Bicentennial Tribute to Florence Nightingale	1
Discrepancy Measures for Global Sensitivity Analysis	1
Real-Time Monitoring of Dynamic Tensor Data with Longitudinal Patterns: A Tensor Graphical LASSO Approach	1
Label-Noise Robust Deep Generative Model for Semi-Supervised Learning	1
Linear Models with Python	1
Robust Covariance Estimation and Explainable Outlier Detection for Matrix-Valued Data	1
Optimal response surface designs for detection and minimization of model contamination	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
An Inference Method for Global Sensitivity Analysis	1
Geometry in Our Three-Dimensional World	1
Explanatory Model Analysis: Explore, Explain and Examine Predictive Models,	1
Philosophies, Puzzles and Paradoxes: A Statistician’s Search for Truth	1
Bivariate DeepKriging for Large-Scale Spatial Interpolation of Wind Fields	1
An Adaptive Multivariate Functional Control Chart	1
D- andA-Optimal Screening Designs	1
New Frontiers of Biostatistics and Bioinformatics	1
Dual-Orthogonal Arrays for Order-of-Addition Two-Level Factorial Experiments	1
Spectral Clustering on Spherical Coordinates Under the Degree-Corrected Stochastic Blockmodel	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
Inference for the Optimum Using Linear Regression Models with Discrete Inputs	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
Building Trees for Probabilistic Prediction via Scoring Rules	0
Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing	0
Feature Detection and Hypothesis Testing for Extremely Noisy Nanoparticle Images using Topological Data Analysis	0
A Bayesian Partially Observable Online Change Detection Approach with Thompson Sampling	0
Flexible Modeling of Nonstationary Extremal Dependence using Spatially Fused LASSO and Ridge Penalties	0
Distribution-on-Scalar Single-Index Quantile Regression Model for Handling Tumor Heterogeneity	0
On Censoring Time in Statistical Monitoring of Lifetime Data	0
Editor’s Report	0
Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing	0
Linear Source Apportionment Using Generalized Least Squares	0
Adaptive Order-of-Addition Experiments via the Quick-Sort Algorithm	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
Editorial Announcement, V. Roshan Joseph, Editor	0
Vedic Mathematics: A Mathematical Tale from the Ancient Veda to Modern Times	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

Drift versus Shift: Decoupling Trends and Changepoint Analysis	0
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data	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
Targeted Variance Reduction: Effective Bayesian Optimization of Black-Box Simulators with Noise Parameters	0
A Scalable Gaussian Process for Large-Scale Periodic Data	0
A Graphical Multi-Fidelity Gaussian Process Model, with Application to Emulation of Heavy-Ion Collisions	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
Handbook of Item Response Theory, Statistical Tools, Volume 2,	0
Clustering Spatial Data with a Mixture of Skewed Regression Models	0
Density Regression with Conditional Support Points	0
Book Review	0
On Tracking Varying Bounds When Forecasting Bounded Time Series	0
OMARS Letter for Technometrics	0
A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets	0
Noise Resistant Control Charts for Detecting Periodicity from Correlation	0
Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments	0
Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences	0
Quantitative Investing: from Theory to Industry Quantitative Investing: from Theory to Industry , Lingjie Ma, Cham, Switzerland: Springer Nature Switzerland AG, 2020, xv	0
Locally Adaptive Shrinkage Priors for Trends and Breaks in Count Time Series	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
Essential Mathematics for Engineers and Scientists Essential Mathematics for Engineers and Scientists Thomas J. Pence and Indrek S. Wichman, New York: Cambridge Universi	0
Toward Optimal Variance Reduction in Online Controlled Experiments	0
Signal Classification in Large-Scale Multi-Sequence Integrative Analysis Under the HMM Dependence	0
Linear and Non-Linear System Theory	0
Nonparametric Control Charts for Monitoring Serial Dependence based on Ordinal Patterns	0
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
Polynomial Methods and Incidence Theory Polynomial Methods and Incidence Theory , Adam Sheffer, Cambridge University Press, 2022, 263 pp., $64.99, ISBN: 9781108959988	0
TSEC: A Framework for Online Experimentation under Experimental Constraints	0
Statistical Modeling in Biomedical Research: Contemporary Topics and Voices in the Field	0
Statistical Prediction and Machine Learning	0
Factor Importance Ranking and Selection using Total Indices	0
Multi-Agent Collaborative Bayesian Optimization via Constrained Gaussian Processes	0
The Effect: An Introduction to Research Design and Causality	0
Adaptive Partially Observed Sequential Change Detection and Isolation	0
Data Analytics for Process Engineers; Prediction, Control, and Optimization Data Analytics for Process Engineers; Prediction, Control, and Optimization Daniela Galatro a	0
Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control	0
Models for Multi-State Survival Data Rates, Risks, and Pseudo-Values, 1st ed.	0
Bayesian Dynamic Feature Partitioning in High-Dimensional Regression With Big Data	0
Prediction of Future Failures for Heterogeneous Reliability Field Data	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
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
Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models	0
Sequential Designs for Filling Output Spaces	0
Achieving Product Reliability: A Key to Business Success	0
Strata Design for Variance Reduction in Stochastic Simulation	0
Statistical Process Monitoring of Artificial Neural Networks	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
Sequential Data Integration Under Dataset Shift	0
Semiparametric Regression with R	0
Spatiotemporal Interactive Modeling of Event-Based Dynamic Networks	0
Federated Multi-Output Gaussian Processes	0
A Multifidelity Function-on-Function Model Applied to an Abdominal Aortic Aneurysm	0
A Multivariate Stochastic Degradation Model for Dependent Performance Characteristics	0
Response to Letter to the Editor	0
Handbook of Item Response Theory, Volume 1, Models	0
Spatial Rank-Based Augmentation for Nonparametric Online Monitoring and Adaptive Sampling of Big Data Streams	0
Assessing Measurement System Agreement in the Presence of Reproducibility and Repeatability	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
Functional PCA With Covariate-Dependent Mean and Covariance Structure	0
A Spatially Correlated Competing Risks Time-to-Event Model for Supercomputer GPU Failure Data	0
Editorial: Special Issue on Industry 4.0	0
Statistical Modeling and Monitoring of Geometrical Deviations in Complex Shapes With Application to Additive Manufacturing	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
Dark Data: Why What You Don’t Know Matters	0
Quantifying Counterfactual Military History Quantifying Counterfactual Military History Brennen Fagan, Ian Horwood, Niall MacKay, Christopher Price, and A. Jamie Wood, B	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
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
Bayesian Sequential Design of Computer Experiments for Quantile Set Inversion	0
Reliable Post-Signal Fault Diagnosis for Correlated High-Dimensional Data Streams	0
Practical and Optimal Likelihood Intervals and Regions for Weibull and Gumbel Distributions	0
Statistical Methods for Reliability Data, Second Edition,	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
Robust Low-Rank Tensor Decomposition with the L 2 Criterion	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 Criminologist’s Guide to R: Crime by the NumbersJacob Kaplan, Boca Raton, FL: Chapman and Hall/CRC Press, Taylor & Francis Group, 2022, 432 pp., ISBN 9781032244075.	0
Handbook of Item Response Theory: Applications (3)	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
Convolutional Non-Homogeneous Poisson Process and its Application to Wildfire Ignition Risk Quantification for Power Delivery Networks	0
JST-RR Model: Joint Modeling of Ratings and Reviews in Sentiment-Topic Prediction	0
Scalable Methods for Multiple Time Series Comparison in Second Order Dynamics	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
A General Modeling Framework for Network Autoregressive Processes	0
Dynamic Mixture of Experts Models for Online Prediction	0
A Subsampling Strategy for AIC-based Model Averaging with Generalized Linear Models	0
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data	0
Data-Driven Pathwise Sampling Approaches for Online Anomaly Detection	0
An Adaptive Sampling Strategy for Real-Time Anomaly Detection with Unmanned Sensing Vehicles	0
Assessment of Case Influence in the Lasso with a Case-Weight Adjusted Solution Path	0
Number Systems: A Path into Rigorous Mathematics	0
Statistical Modeling of the Effectiveness of Preventive Maintenance for Repairable Systems	0
Statistical Rethinking: A Bayesian Course with Examples in R and Stan	0
Deep Gaussian Process Emulation using Stochastic Imputation	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
Data-Driven Determination of the Number of Jumps in Regression Curves	0
Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional Data	0