Technometrics

Article	Citations
Handbook of Measurement Error Models	99
Bivariate DeepKriging for Large-Scale Spatial Interpolation of Wind Fields	39
New Frontiers of Biostatistics and Bioinformatics	23
Explanatory Model Analysis: Explore, Explain and Examine Predictive Models,	20
Polynomial Methods and Incidence Theory Polynomial Methods and Incidence Theory , Adam Sheffer, Cambridge University Press, 2022, 263 pp., $64.99, ISBN: 9781108959988	19
(Almost) Impossible Integrals, Sums, and Series (Almost) Impossible Integrals, Sums, and Series , Cornel Ioan Vălean, Cham, Switzerland: Springer Nature Switzerland AG,	16
Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data Under Data-Sharing Constraints	12
Probability Modeling and Statistical Inference in Cancer Screening	11
Vedic Mathematics: A Mathematical Tale from the Ancient Veda to Modern Times	11
Math and Art: An Introduction to Visual Mathematics, 2nd ed.,	10
A Proportional Intensity Model with Frailty for Missing Recurrent Failure Data	10
2022 Ziegel Award Announcement	9
R for Political Data Science: A Practical Guide	9
The 2021 Technometrics Prizes	9
Modern Data Science with R (2nd ed.)	9
Statistical Universals of Language: Mathematical Chance vs. Human Choice	8
Foundations of Statistical Mechanics Foundations of Statistical Mechanics Roman Frigg and Charlotte Werndl, UK: Cambridge University Press, 2024, 84 pp., $22.00, ISBN 97	8
Dynamic Mixture of Experts Models for Online Prediction	8
Foundations of Statistics for Data Scientists: With R and Python	8
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., $	8
Profile Monitoring via Eigenvector Perturbation	8
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior	7
PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models	7
Screening the Discrepancy Function of a Computer Model	7
Discrepancy Measures for Global Sensitivity Analysis	7

Gaussian Process-Aided Function Comparison Using Noisy Scattered Data	6
Adaptive Order-of-Addition Experiments via the Quick-Sort Algorithm	6
Adaptive Partially Observed Sequential Change Detection and Isolation	6
A Statistical Approach to Surface Metrology for 3D-Printed Stainless Steel	6
Sequential Data Integration Under Dataset Shift	6
Strata Design for Variance Reduction in Stochastic Simulation	6
Tolerance Intervals Under a Class of Unbalanced Linear Mixed Models	6
A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets	6
Using BART to Perform Pareto Optimization and Quantify its Uncertainties	6
Data-Driven Pathwise Sampling Approaches for Online Anomaly Detection	6
Density Regression with Conditional Support Points	6
Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning	6
Moving Sum Procedure for Change Point Detection under Piecewise Linearity	6
Statistics Today: Everyday Applications, Research Questions, Insights, and Challenges	5
Advanced Statistical Methods	5
Models for Multi-State Survival Data Rates, Risks, and Pseudo-Values, 1st ed.	5
Class Maps for Visualizing Classification Results	5
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice	5
Clustered Coefficient Regression Models for Poisson Process with an Application to Seasonal Warranty Claim Data	5
Scalable Methods for Multiple Time Series Comparison in Second Order Dynamics	5
Multi-Agent Collaborative Bayesian Optimization via Constrained Gaussian Processes	5
Automated Threshold Selection and Associated Inference Uncertainty for Univariate Extremes	5
Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models	5
Correlation in Engineering and the Applied Sciences: Applications in R	5
Practical and Optimal Likelihood Intervals and Regions for Weibull and Gumbel Distributions	5
Statistical Modeling in Biomedical Research: Contemporary Topics and Voices in the Field	5
Mathematical Analysis and Optimization for Economists	5
A Spatially Correlated Competing Risks Time-to-Event Model for Supercomputer GPU Failure Data	4
Time Series Clustering and Classification	4
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,	4
Accelerated Event Times with Multiple Thresholds	4
Directional Statistics for Innovative Applications: A Bicentennial Tribute to Florence Nightingale	4
Adventures in Recreational Mathematics, Vol. 2 Adventures in Recreational Mathematics, Vol. 2 , By David Singmaster, Singapore: World Scientific, 2022, 180 pp., $28.00 (	4
Derivative Based Global Sensitivity Analysis and Its Entropic Link	4
Anomaly Detection in Large-Scale Networks With Latent Space Models	4
Behavior Analysis with Machine Learning Using R,	4
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	4
Advanced Engineering Mathematics	4
Experimental Design and Modeling for Forward-Inverse Maps	4
Mathematical Modeling: Models, Analysis and Applications, 2nd Edition Mathematical Modeling: Models, Analysis and Applications, 2nd Edition , by Sandip Banerjee, Boka Ra	4
Design and Analysis of Computer Experiments with both Numeral and Distributional Inputs	4
Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing	4
Principles of Biostatistics	4
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.	3
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	3
Accounting for Location Measurement Error in Imaging Data With Application to Atomic Resolution Images of Crystalline Materials	3
Manhattan Project: The Story of the Century, by Bruce Cameron Reed. Springer Nature Switzerland AG, 2020,	3
Feature Detection and Hypothesis Testing for Extremely Noisy Nanoparticle Images using Topological Data Analysis	3
Distribution-on-Scalar Single-Index Quantile Regression Model for Handling Tumor Heterogeneity	3
Statistical Modeling of Occupant Behavior Statistical Modeling of Occupant Behavior , JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin	3

Prediction of Future Failures for Heterogeneous Reliability Field Data	3
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	3
Statistical GenomicsBrooke Fridley and Xuefeng Wang, New York, NY: Humana, 2023, 377 pp., EUR 169.99, ISBN 978-1-0716-2986-4 (eBook)	3
A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input	3
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.	3
Fast and Exact Leave-One-Out Analysis of Large-Margin Classifiers	2
Detecting Changes in Covariance via Random Matrix Theory	2
Ranking Features to Promote Diversity: An Approach Based on Sparse Distance Correlation	2
Learning Microeconometrics with R	2
OMARS Letter for Technometrics	2
Robust Multivariate Functional Control Chart	2
Quantitative Investing: from Theory to Industry Quantitative Investing: from Theory to Industry , Lingjie Ma, Cham, Switzerland: Springer Nature Switzerland AG, 2020, xv	2
A Multifidelity Function-on-Function Model Applied to an Abdominal Aortic Aneurysm	2
A General Framework for Robust Monitoring of Multivariate Correlated Processes	2
A Sharper Computational Tool for Regression	2
Philosophies, Puzzles and Paradoxes: A Statistician’s Search for Truth	2
Statistical Modeling of the Effectiveness of Preventive Maintenance for Repairable Systems	2
Scientific Journeys: A Physicist Explores the Culture, History and Personalities of Science	2
A Graphical Multi-Fidelity Gaussian Process Model, with Application to Emulation of Heavy-Ion Collisions	2
Linear Models with Python	2
Handbook of Statistical Methods for Randomized Controlled Clinical Trials	2
A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space	2
Kernel-based Sensitivity Analysis for (Excursion) Sets	2
Image Comparison Based On Local Pixel Clustering	2
Model Mixing Using Bayesian Additive Regression Trees	2
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	2
Mathematical Modeling and Soft Computing in Epidemiology Mathematical Modeling and Soft Computing in Epidemiology , Edited by Jyoti Mishra, Ritu Agarwal, and Abdon Atang	2
Factor Importance Ranking and Selection using Total Indices	2
High-Dimensional Cost-constrained Regression Via Nonconvex Optimization	2
Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional Data	1
JST-RR Model: Joint Modeling of Ratings and Reviews in Sentiment-Topic Prediction	1
A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly	1
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	1
Intelligent Fatigue Statistics	1
Active Sampling: A Machine-Learning-Assisted Framework for Finite Population Inference with Optimal Subsamples	1
A Bayesian Partially Observable Online Change Detection Approach with Thompson Sampling	1
Fast Robust Location and Scatter Estimation: A Depth-based Method	1
Spatial Rank-Based Augmentation for Nonparametric Online Monitoring and Adaptive Sampling of Big Data Streams	1
Bayesian Dynamic Feature Partitioning in High-Dimensional Regression With Big Data	1
Symbolic Regression	1
Deep Latent Factor Model for Spatio-Temporal Forecasting	1
An Adaptive Sampling Strategy for Real-Time Anomaly Detection with Unmanned Sensing Vehicles	1
Statistical Rethinking: A Bayesian Course with Examples in R and Stan	1
Handbook of Regression Modeling in People Analytics: With Examples in R and Python,	1
Mathematical Statistics	1
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling	1
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data	1
Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection	1
Efficient Model-Free Subsampling Method for Massive Data	1
Detection of Emergent Anomalous Structure in Functional Data	1
Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition	1
Likelihood Inference for Possibly Nonstationary Processes via Adaptive Overdifferencing	1
Towards Improved Heliosphere Sky Map Estimation with Theseus	1
The 2023 Technometrics Prizes	1
Assessing Measurement System Agreement in the Presence of Reproducibility and Repeatability	1
A Multivariate Stochastic Degradation Model for Dependent Performance Characteristics	1
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling	1
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	1
Handbook of Item Response Theory: Applications (3)	1
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.	1
Screening Designs for Continuous and Categorical Factors	1
Robust Low-Rank Tensor Decomposition with the L 2 Criterion	1
A Class of Hierarchical Multivariate Wiener Processes for Modeling Dependent Degradation Data	1
Co-Active Subspace Methods for the Joint Analysis of Adjacent Computer Models	1
PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis	1
Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations	1
Signal Classification in Large-Scale Multi-Sequence Integrative Analysis Under the HMM Dependence	1
An Inference Method for Global Sensitivity Analysis	1
Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates	1
Inverse Models for Estimating the Initial Condition of Spatio-Temporal Advection-Diffusion Processes	0
Sequential Designs for Filling Output Spaces	0
Optimal Planning of Destructive Degradation Tests	0
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python	0
Dual-Orthogonal Arrays for Order-of-Addition Two-Level Factorial Experiments	0
Toward Optimal Variance Reduction in Online Controlled Experiments	0
Partially Observable Online Nonparametric Monitoring of Spatiotemporally Correlated Data Streams	0
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.	0
Constrained Bayesian Optimization with Lower Confidence Bound	0
Temporal Characterization and Filtering of Sensor Data to Support Anomaly Detection	0
Image-Based Feedback Control Using Tensor Analysis	0

Applied Regularization Methods for the Social Sciences	0
TSEC: A Framework for Online Experimentation under Experimental Constraints	0
Federated Multi-Output Gaussian Processes	0
Understanding the Analytic Hierarchy Process	0
Statistical Methods for Reliability Data, Second Edition,	0
Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control	0
Spatio-Temporal Analysis and Prediction of Mass Telecommunication Base Station Failure Events	0
Value of Information for Healthcare Decision-Making	0
An Information Geometry Approach to Robustness Analysis for the Uncertainty Quantification of Computer Codes	0
Computational and Analytic Methods in Biological Sciences, 1st ed. Computational and Analytic Methods in Biological Sciences, 1st ed. , Edited by Akshara Makrariya, Braj	0
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modelling and Analysis of Big Data	0
Augmenting a Simulation Campaign for Hybrid Computer Model and Field Data Experiments	0
Introduction to Math Olympiad Problems	0
Data Analytics for Process Engineers; Prediction, Control, and Optimization Data Analytics for Process Engineers; Prediction, Control, and Optimization Daniela Galatro a	0
Robust Design for Order-of-Addition Experiments	0
Constructing a Simulation Surrogate with Partially Observed Output	0
Book Review	0
Mesh-Clustered Gaussian Process Emulator for Partial Differential Equation Boundary Value Problems	0
Inference for the Optimum Using Linear Regression Models with Discrete Inputs	0
SPlit: An Optimal Method for Data Splitting	0
A General Modeling Framework for Network Autoregressive Processes	0
Semiparametric Regression with R	0
Transparent Sequential Learning for Statistical Process Control of Serially Correlated Data	0
Dark Data: Why What You Don’t Know Matters	0
Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments	0
Robust Latent Feature Learning for Incomplete Big Data	0
Adventures in Recreational Mathematics, Vol. 1 Adventures in Recreational Mathematics, Vol. 1 , by David Singmaster, Singapore: World Scientific, 2021, 316 pp., $38.00(p	0
Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning	0
Bayesian Optimization via Exact Penalty	0
Functional PCA With Covariate-Dependent Mean and Covariance Structure	0
Advanced Statistics with Applications in R	0
Statistical Learning for Nonlinear Dynamical Systems with Applications to Aircraft-UAV Collisions	0
Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing	0
Reliable Post-Signal Fault Diagnosis for Correlated High-Dimensional Data Streams	0
An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data	0
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors	0
Analyzing Spatial Models of Choice and Judgment, Second Edition	0
Noise Resistant Control Charts for Detecting Periodicity from Correlation	0
Calibration of Imperfect Geophysical Models by Multiple Satellite Interferograms with Measurement Bias	0
Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data	0
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	0
Spectral Clustering on Spherical Coordinates Under the Degree-Corrected Stochastic Blockmodel	0
Maximum One-Factor-At-A-Time Designs for Screening in Computer Experiments	0
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	0
Response to Letter to the Editor	0
Gaussian Process Emulation for High-Dimensional Coupled Systems	0
The Effect: An Introduction to Research Design and Causality	0
A Subsampling Method for Regression Problems Based on Minimum Energy Criterion	0
Probability, Choice, and Reason	0
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data	0
Drift versus Shift: Decoupling Trends and Changepoint Analysis	0
Data-Driven Determination of the Number of Jumps in Regression Curves	0
Handbook of Item Response Theory, Statistical Tools, Volume 2,	0
Sequential Design of Multi-Fidelity Computer Experiments: Maximizing the Rate of Stepwise Uncertainty Reduction	0
A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation	0
Advances in Data Science and Analytics: Concepts and Paradigms (1st ed.)	0
Super Resolution for Multi-Sources Image Stream Data Using Smooth and Sparse Tensor Completion and Its Applications in Data Acquisition of Additive Manufacturing	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
Statistical Process Monitoring of Artificial Neural Networks	0
Editor’s Report	0
Bayesian Modeling and Inference for One-Shot Experiments	0
Locally Adaptive Shrinkage Priors for Trends and Breaks in Count Time Series	0
On Tracking Varying Bounds When Forecasting Bounded Time Series	0
Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation	0
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks	0
Chance, Logic and Intuition: An Introduction to the Counter-Intuitive Logic of Chance	0
Monitoring Heterogeneous Multivariate Profiles Based on Heterogeneous Graphical Model	0
Modeling Crash Risk on Roadway Networks Using Bayesian Regression Trees	0
Distributed Estimation of Principal Support Vector Machines for Sufficient Dimension Reduction	0
Smart Grid and Enabling Technologies Smart Grid and Enabling Technologies Shady S. Refaat, Omar Ellabban, Sertac Bayhan, Haitham Abu-Rub, Dr. Frede Blaabjerg, Miroslav M	0
Statistical Modeling and Monitoring of Geometrical Deviations in Complex Shapes With Application to Additive Manufacturing	0
Remaining Useful Life Prediction Based on Forward Intensity	0
Mathematical Modeling in Biology: A Research Methods Approach, 1st ed. Mathematical Modeling in Biology: A Research Methods Approach, 1st ed. Shandelle M. Henson and Jam	0
Bayesian Semiparametric Local Clustering of Multiple Time Series Data	0
Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data	0
Functional Outlier Detection for Density-Valued Data with Application to Robustify Distribution-to-Distribution Regression	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
Locally Optimal Design for A/B Tests in the Presence of Covariates and Network Dependence	0
Label-Noise Robust Deep Generative Model for Semi-Supervised Learning	0
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	0
Measurement Models for Psychological Attributes	0
Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models	0
A Scalable Gaussian Process for Large-Scale Periodic Data	0
Deep Gaussian Process Emulation using Stochastic Imputation	0
Detecting Influential Observations in Single-Index Fréchet Regression	0
On Censoring Time in Statistical Monitoring of Lifetime Data	0
Selection of Two-Level Supersaturated Designs for Main Effects Models	0
Note on the Equivalence of Orthogonalizing EM and Proximal Gradient Descent	0
Number Systems: A Path into Rigorous Mathematics	0
Building Trees for Probabilistic Prediction via Scoring Rules	0
Editorial: Special Issue on Industry 4.0	0
Spatiotemporal Interactive Modeling of Event-Based Dynamic Networks	0
Subjective Well-Being and Social Media: Reconciling Big Data and Statistics	0
On Statistical Properties of a Veracity Scoring Method for Spatial Data	0
Nonparametric Control Charts for Monitoring Serial Dependence based on Ordinal Patterns	0