Technometrics

Article	Citations
A Statistical Approach to Surface Metrology for 3D-Printed Stainless Steel	50
2022 Ziegel Award Announcement	25
Using BART to Perform Pareto Optimization and Quantify its Uncertainties	23
Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning	21
Advanced Statistical Methods	14
Handbook of Measurement Error Models	14
Statistical Universals of Language: Mathematical Chance vs. Human Choice	14
Foundations of Statistics for Data Scientists: With R and Python	14
Modern Data Science with R (2nd ed.)	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
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice	12
Mathematical Statistics	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
Mathematical Analysis and Optimization for Economists	11
Likelihood Inference for Possibly Nonstationary Processes via Adaptive Overdifferencing	10
Deep Latent Factor Model for Spatio-Temporal Forecasting	10
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling	10
The 2023 Technometrics Prizes	10
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling	9
Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning	8
Bayesian Semiparametric Local Clustering of Multiple Time Series Data	8
Discussion of “Experimental Design and Modeling for Forward-Inverse Maps” by R. Barton & M. Morris, appearing in Technometrics	8

An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data	7
A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation	7
A Subsampling Method for Regression Problems Based on Minimum Energy Criterion	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
Degradation data analysis based on Wiener process with a nonlinear drift and a stochastic volatility	7
Bayesian Optimization via Exact Penalty	7
Constrained Bayesian Optimization with Lower Confidence Bound	7
Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation	7
The ESD Control Program Handbook	7
Robust Latent Feature Learning for Incomplete Big Data	7
Detecting Influential Observations in Single-Index Fréchet Regression	6
Applied Regularization Methods for the Social Sciences	6
Probability, Choice, and Reason	6
On Statistical Properties of a Veracity Scoring Method for Spatial Data	6
Optimal Planning of Destructive Degradation Tests	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
Spatio-Temporal Analysis and Prediction of Mass Telecommunication Base Station Failure Events	6
The 2021 Technometrics Prizes	5
Correlation in Engineering and the Applied Sciences: Applications in R	5
Cellwise Outlier Detection in Heterogeneous Populations	5
A Periodic Fractional Wiener Process for Remaining Useful Life Prediction of Photovoltaic Systems with Long-Range Dependence	5
Probability Modeling and Statistical Inference in Cancer Screening	5
Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models	5
Statistical Modeling of Occupant Behavior Statistical Modeling of Occupant Behavior , JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin	5
Manhattan Project: The Story of the Century, by Bruce Cameron Reed. Springer Nature Switzerland AG, 2020,	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
Statistics Today: Everyday Applications, Research Questions, Insights, and Challenges	5
Principles of Biostatistics	5
Advanced Engineering Mathematics	5
Handbook of Regression Modeling in People Analytics: With Examples in R and Python,	4
Fast and Exact Leave-One-Out Analysis of Large-Margin Classifiers	4
Handbook of Statistical Methods for Randomized Controlled Clinical Trials	4
Batch Sequential Experimental Design for Calibration of Stochastic Simulation Models	4
Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates	4
Kernel-based Sensitivity Analysis for (Excursion) Sets	4
Efficient Active Learning Strategies for Computer Experiments	4
A General Framework for Robust Monitoring of Multivariate Correlated Processes	4
Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations	4
Screening Designs for Continuous and Categorical Factors	4
Detecting Changes in Covariance via Random Matrix Theory	4
A Sharper Computational Tool for Regression	4
Symbolic Regression	4
Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection	4
Technometrics 2023 Associate Editors	3
Robust Multivariate Functional Control Chart	3
Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition	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
Constructing a Simulation Surrogate with Partially Observed Output	3
A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly	3
Modeling Crash Risk on Roadway Networks Using Bayesian Regression Trees	3

Transfer Learning with Large-Scale Quantile Regression	3
Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments	3
Towards Improved Heliosphere Sky Map Estimation with Theseus	3
Text as Data: A New Framework for Machine Learning and the Social Sciences	3
Analyzing Spatial Models of Choice and Judgment, Second Edition	2
Sequential Change-Point Detection for Mutually Exciting Point Processes	2
Chance, Logic and Intuition: An Introduction to the Counter-Intuitive Logic of Chance	2
Maximum One-Factor-At-A-Time Designs for Screening in Computer Experiments	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
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
Distributed Estimation of Principal Support Vector Machines for Sufficient Dimension Reduction	2
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors	2
Advances in Data Science and Analytics: Concepts and Paradigms (1st ed.)	2
Machine Learning For Transportation Research and Application	2
Remaining Useful Life Prediction Based on Forward Intensity	2
Skew-Normal Model Theories and Their Applications	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
Information Sharing for Robust and Stable Cross-Validation	2
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	2
Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data	2
Locally Optimal Design for A/B Tests in the Presence of Covariates and Network Dependence	2
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior	2
Math and Art: An Introduction to Visual Mathematics, 2nd ed.,	2
Optimal Response Surface Designs for Detection and Minimization of Model Contamination	1
Clustered Coefficient Regression Models for Poisson Process with an Application to Seasonal Warranty Claim Data	1
Tolerance Intervals Under a Class of Unbalanced Linear Mixed Models	1
Active Sampling: A Machine-Learning-Assisted Framework for Finite Population Inference with Optimal Subsamples	1
Explanatory Model Analysis: Explore, Explain and Examine Predictive Models,	1
Robust Covariance Estimation and Explainable Outlier Detection for Matrix-Valued Data	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
Novelty and Primacy: A Long-Term Estimator for Online Experiments	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
Multi-layer Sliced Design and Analysis with Application to AI Assurance	1
Temporal Characterization and Filtering of Sensor Data to Support Anomaly Detection	1
An Adaptive Multivariate Functional Control Chart	1
Robust and Multivariate Statistical Methods: Festschrift in Honor of David E. Tyler	1
Accelerated Event Times with Multiple Thresholds	1
Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data Under Data-Sharing Constraints	1
A Proportional Intensity Model with Frailty for Missing Recurrent Failure Data	1
Moving Sum Procedure for Change Point Detection under Piecewise Linearity	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
Rejoinder	1
Sensitivity Prewarping for Local Surrogate Modeling	1
D- andA-Optimal Screening Designs	1
Intelligent Fatigue Statistics	1
Remaining Useful Life Prediction of Lithium-Ion Batteries Using Monotone Decomposition	1
Directional Statistics for Innovative Applications: A Bicentennial Tribute to Florence Nightingale	1
Statistical Learning for Nonlinear Dynamical Systems with Applications to Aircraft-UAV Collisions	1
Design and Analysis of Computer Experiments with both Numeral and Distributional Inputs	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
Bivariate DeepKriging for Large-Scale Spatial Interpolation of Wind Fields	1
(Almost) Impossible Integrals, Sums, and Series (Almost) Impossible Integrals, Sums, and Series , Cornel Ioan Vălean, Cham, Switzerland: Springer Nature Switzerland AG,	1
An Inference Method for Global Sensitivity Analysis	1
Subjective Well-Being and Social Media: Reconciling Big Data and Statistics	1
Inference for the Optimum Using Linear Regression Models with Discrete Inputs	1
Geometry in Our Three-Dimensional World	1
Measurement Models for Psychological Attributes	1
Philosophies, Puzzles and Paradoxes: A Statistician’s Search for Truth	1
Active Learning for Deep Gaussian Process Surrogates	1
Ranking Features to Promote Diversity: An Approach Based on Sparse Distance Correlation	1
Value of Information for Healthcare Decision-Making	1
Assessment of Case Influence in the Lasso with a Case-Weight Adjusted Solution Path	0
Editor’s Report	0
Polynomial Methods and Incidence Theory Polynomial Methods and Incidence Theory , Adam Sheffer, Cambridge University Press, 2022, 263 pp., $64.99, ISBN: 9781108959988	0
Selection of Two-Level Supersaturated Designs for Main Effects Models	0
Discrepancy Measures for Global Sensitivity Analysis	0
The Effect: An Introduction to Research Design and Causality	0
Efficient Model-Free Subsampling Method for Massive Data	0
Robust Design for Order-of-Addition Experiments	0
Data Analytics for Process Engineers; Prediction, Control, and Optimization Data Analytics for Process Engineers; Prediction, Control, and Optimization Daniela Galatro a	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
Spectral Clustering on Spherical Coordinates Under the Degree-Corrected Stochastic Blockmodel	0
Achieving Product Reliability: A Key to Business Success	0
Federated Multi-Output Gaussian Processes	0
Practical and Optimal Likelihood Intervals and Regions for Weibull and Gumbel Distributions	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
Dynamic Mixture of Experts Models for Online Prediction	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

Modeling Reality with Mathematics	0
Strata Design for Variance Reduction in Stochastic Simulation	0
Locally Adaptive Shrinkage Priors for Trends and Breaks in Count Time Series	0
A Graphical Multi-Fidelity Gaussian Process Model, with Application to Emulation of Heavy-Ion Collisions	0
Density Regression with Conditional Support Points	0
PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis	0
JST-RR Model: Joint Modeling of Ratings and Reviews in Sentiment-Topic Prediction	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
On Tracking Varying Bounds When Forecasting Bounded Time Series	0
Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing	0
Number Systems: A Path into Rigorous Mathematics	0
Signal Classification in Large-Scale Multi-Sequence Integrative Analysis Under the HMM Dependence	0
Quantifying Counterfactual Military History Quantifying Counterfactual Military History Brennen Fagan, Ian Horwood, Niall MacKay, Christopher Price, and A. Jamie Wood, B	0
Nonparametric Control Charts for Monitoring Serial Dependence based on Ordinal Patterns	0
A Scalable Gaussian Process for Large-Scale Periodic Data	0
Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing	0
Deep Gaussian Process Emulation using Stochastic Imputation	0
BOPIM: Bayesian Optimization for Influence Maximization on Temporal Networks	0
Adaptive Order-of-Addition Experiments via the Quick-Sort Algorithm	0
Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional Data	0
Clustering Spatial Data with a Mixture of Skewed Regression Models	0
A Class of Hierarchical Multivariate Wiener Processes for Modeling Dependent Degradation Data	0
Vedic Mathematics: A Mathematical Tale from the Ancient Veda to Modern Times	0
Detection of Emergent Anomalous Structure in Functional Data	0
Fractional Cross-Validation for Optimizing Hyperparameters of Supervised Learning Algorithms	0
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data	0
Spatial Rank-Based Augmentation for Nonparametric Online Monitoring and Adaptive Sampling of Big Data Streams	0
Orthogonal Calibration via Posterior Projections with Applications to the Schwarzschild Model	0
Statistical Prediction and Machine Learning	0
Drift versus Shift: Decoupling Trends and Changepoint Analysis	0
Dual-Orthogonal Arrays for Order-of-Addition Two-Level Factorial Experiments	0
Linear Source Apportionment Using Generalized Least Squares	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
Editorial: Special Issue on Industry 4.0	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
Targeted Variance Reduction: Effective Bayesian Optimization of Black-Box Simulators with Noise Parameters	0
Semiparametric Regression with R	0
OMARS Letter for Technometrics	0
Scalable Methods for Multiple Time Series Comparison in Second Order Dynamics	0
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data	0
A General Modeling Framework for Network Autoregressive Processes	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
Sequential Data Integration Under Dataset Shift	0
A Subsampling Strategy for AIC-based Model Averaging with Generalized Linear Models	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
Reliable Post-Signal Fault Diagnosis for Correlated High-Dimensional Data Streams	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
Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological 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
A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input	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
Response to Letter to the Editor	0
Dark Data: Why What You Don’t Know Matters	0
Book Review	0
Distribution-on-Scalar Single-Index Quantile Regression Model for Handling Tumor Heterogeneity	0
Optimal Designs for Order-of-Addition Two-Level Factorial Experiments	0
Flexible Modeling of Nonstationary Extremal Dependence using Spatially Fused LASSO and Ridge Penalties	0
Adaptive Partially Observed Sequential Change Detection and Isolation	0
Co-Active Subspace Methods for the Joint Analysis of Adjacent Computer Models	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
Spatial von-Mises Fisher Regression for Directional Data	0
Building Trees for Probabilistic Prediction via Scoring Rules	0
A Bayesian Partially Observable Online Change Detection Approach with Thompson Sampling	0
Models for Multi-State Survival Data Rates, Risks, and Pseudo-Values, 1st ed.	0
On Censoring Time in Statistical Monitoring of Lifetime Data	0
Fast Robust Location and Scatter Estimation: A Depth-based Method	0
Real-Time Monitoring of Dynamic Tensor Data with Longitudinal Patterns: A Tensor Graphical LASSO Approach	0
Bayesian Sequential Design of Computer Experiments for Quantile Set Inversion	0
TSEC: A Framework for Online Experimentation under Experimental Constraints	0
Label-Noise Robust Deep Generative Model for Semi-Supervised Learning	0
Robust Low-Rank Tensor Decomposition with the L 2 Criterion	0
Functional PCA With Covariate-Dependent Mean and Covariance Structure	0
Multi-Agent Collaborative Bayesian Optimization via Constrained Gaussian Processes	0
Factor Importance Ranking and Selection Using Total Indices	0
A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets	0
A Multivariate Stochastic Degradation Model for Dependent Performance Characteristics	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
Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models	0
An Adaptive Sampling Strategy for Real-Time Anomaly Detection with Unmanned Sensing Vehicles	0
Linear and Non-Linear System Theory	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
Data-Driven Pathwise Sampling Approaches for Online Anomaly Detection	0
Spatiotemporal Interactive Modeling of Event-Based Dynamic Networks	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
Applied Microbiome Statistics Correlation, Association, Interaction and Composition, 1st ed	0
Assessing Measurement System Agreement in the Presence of Reproducibility and Repeatability	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
Editorial Announcement, V. Roshan Joseph, Editor	0
Image Comparison Based On Local Pixel Clustering	0
Feature Detection and Hypothesis Testing for Extremely Noisy Nanoparticle Images using Topological Data Analysis	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
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
Comment: A Model-Free Method for Input-Output Space-Filling Design	0
A Spatially Correlated Competing Risks Time-to-Event Model for Supercomputer GPU Failure Data	0