Technometrics

Article	Citations
2022 Ziegel Award Announcement	33
Handbook of Measurement Error Models	23
Foundations of Statistics for Data Scientists: With R and Python	22
Statistical Universals of Language: Mathematical Chance vs. Human Choice	21
Modern Data Science with R (2nd ed.)	20
Emulating simulation experiments with grounding using a two-stage classification-regression model	20
Advanced Statistical Methods	19
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice	19
Statistical GenomicsBrooke Fridley and Xuefeng Wang, New York, NY: Humana, 2023, 377 pp., EUR 169.99, ISBN 978-1-0716-2986-4 (eBook)	17
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	17
Mathematical Analysis and Optimization for Economists	17
A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space	17
Thoughts on Forward-Inverse Maps	16
Just Enough Data Science and Machine Learning	14
The 2023 Technometrics Prizes	14
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling	12
Likelihood Inference for Possibly Nonstationary Processes via Adaptive Overdifferencing	11
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling	11
A Local Variational Inference Framework for the Orthogonal Gaussian Process Calibration	10
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	10
Deep Latent Factor Model for Spatio-Temporal Forecasting	10
Partial Least Squares Regression: and Related Dimension Reduction Methods	10
The 2024 Technometrics Prizes	10
A General Framework For Modeling Gaussian Process with Qualitative and Quantitative Factors	9
Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning	9

Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation	9
Bayesian Semiparametric Local Clustering of Multiple Time Series Data	9
An Adaptive Sampling Strategy for Online Monitoring of Partially Observed Networks	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	8
Discussion of “Experimental Design and Modeling for Forward-Inverse Maps” by R. Barton & M. Morris, appearing in Technometrics	8
Privacy-Aware Gaussian Process Regression	8
An Adjacency-Adaptive Gaussian Process Method for Sample Efficient Response Surface Modeling and Test-Point Acquisition	8
A Subsampling Method for Regression Problems Based on Minimum Energy Criterion	7
Optimal Planning of Destructive Degradation Tests	7
A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation	7
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	7
On Statistical Properties of a Veracity Scoring Method for Spatial Data	7
Bayesian Optimization via Exact Penalty	7
Robust Latent Feature Learning for Incomplete Big Data	7
Detecting Influential Observations in Single-Index Fréchet Regression	7
Constrained Bayesian Optimization with Lower Confidence Bound	7
The 2021 Technometrics Prizes	6
Spatio-Temporal Analysis and Prediction of Mass Telecommunication Base Station Failure Events	6
Probability Modeling and Statistical Inference in Cancer Screening	6
Applied Regularization Methods for the Social Sciences	6
Predictive Safety Analytics; Reducing Risk through Modeling and Machine Learning	6
Statistics Today: Everyday Applications, Research Questions, Insights, and Challenges	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
Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models	6
Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction	5
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
Kernel-based Sensitivity Analysis for (Excursion) Sets	5
A Periodic Fractional Wiener Process for Remaining Useful Life Prediction of Photovoltaic Systems with Long-Range Dependence	5
Principles of Biostatistics	5
Detecting Changes in Covariance via Random Matrix Theory	5
Optimal Experimental Designs for Process Robustness Studies	5
Correlation in Engineering and the Applied Sciences: Applications in R	5
A Sharper Computational Tool for Regression	5
Efficient Active Learning Strategies for Computer Experiments	5
A General Framework for Robust Monitoring of Multivariate Correlated Processes	4
Symbolic Regression	4
Towards Improved Heliosphere Sky Map Estimation with Theseus	4
Handbook of Statistical Methods for Randomized Controlled Clinical Trials	4
Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations	4
Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition	4
Screening Designs for Continuous and Categorical Factors	4
Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates	4
Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection	4
Machine Learning For Transportation Research and Application	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
Information Sharing for Robust and Stable Cross-Validation	3
Technometrics 2023 Associate Editors	3
Transfer Learning with Large-Scale Quantile Regression	3

Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments	3
Chance, Logic and Intuition: An Introduction to the Counter-Intuitive Logic of Chance	3
Skew-Normal Model Theories and Their Applications	3
Functional Outlier Detection for Density-Valued Data with Application to Robustify Distribution-to-Distribution Regression	3
Maximum One-Factor-At-A-Time Designs for Screening in Computer Experiments	3
Remaining Useful Life Prediction Based on Forward Intensity	3
Constructing a Simulation Surrogate with Partially Observed Output	3
Modeling Crash Risk on Roadway Networks Using Bayesian Regression Trees	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
Special Integrals	3
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors	3
PICS: A Sequential Approach to Obtain Optimal Designs for Nonlinear Models Leveraging Closed-Form Solutions for Faster Convergence	3
Advances in Data Science and Analytics: Concepts and Paradigms (1st ed.)	3
Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data	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	3
Change Point Analysis: Theory and Application	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
Batch Sequential Experimental Design for Calibration of Stochastic Simulation Models	3
Text as Data: A New Framework for Machine Learning and the Social Sciences	3
Distributed Estimation of Principal Support Vector Machines for Sufficient Dimension Reduction	3
Robust Multivariate Functional Control Chart	3
Math and Art: An Introduction to Visual Mathematics, 2nd ed.,	3
Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data	3
Multi-Layer Sliced Design and Analysis with Application to AI Assurance	2
Value of Information for Healthcare Decision-Making	2
Monitoring and Diagnosis for Multi-Mode Processes with Varying Operating Parameters: A Covariate-Adjusted Mixture Bayesian Network Approach	2
Directional Statistics for Innovative Applications: A Bicentennial Tribute to Florence Nightingale	2
(Almost) Impossible Integrals, Sums, and Series (Almost) Impossible Integrals, Sums, and Series , Cornel Ioan Vălean, Cham, Switzerland: Springer Nature Switzerland AG,	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
Tolerance Intervals Under a Class of Unbalanced Linear Mixed Models	2
Philosophies, Puzzles and Paradoxes: A Statistician’s Search for Truth	2
Accelerated Event Times with Multiple Thresholds	2
Active Sampling: A Machine-Learning-Assisted Framework for Finite Population Inference with Optimal Subsamples	2
Intelligent Fatigue Statistics	2
An Inference Method for Global Sensitivity Analysis	2
Moving Sum Procedure for Change Point Detection under Piecewise Linearity	2
Explanatory Model Analysis: Explore, Explain and Examine Predictive Models,	2
Clustered Coefficient Regression Models for Poisson Process with an Application to Seasonal Warranty Claim Data	2
Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data Under Data-Sharing Constraints	2
An Adaptive Multivariate Functional Control Chart	2
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	2
Optimal Response Surface Designs for Detection and Minimization of Model Contamination	2
Design and Analysis of Computer Experiments with both Numeral and Distributional Inputs	2
A Proportional Intensity Model with Frailty for Missing Recurrent Failure Data	2
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior	2
Screening the Discrepancy Function of a Computer Model	2
Bivariate DeepKriging for Large-Scale Spatial Interpolation of Wind Fields	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	1
Measurement Models for Psychological Attributes	1
Robust Principal Components by Casewise and Cellwise Weighting	1
Novelty and Primacy: A Long-Term Estimator for Online Experiments	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.	1
Selection of Two-Level Supersaturated Designs for Main Effects Models	1
Multi-Agent Collaborative Bayesian Optimization via Constrained Gaussian Processes	1
Adaptive Order-of-Addition Experiments via the Quick-Sort Algorithm	1
Orthogonal Calibration via Posterior Projections with Applications to the Schwarzschild Model	1
Polynomial Methods and Incidence Theory	1
Robust and Multivariate Statistical Methods: Festschrift in Honor of David E. Tyler	1
Adaptive Partially Observed Sequential Change Detection and Isolation	1
Geometry in Our Three-Dimensional World	1
Statistical Learning for Nonlinear Dynamical Systems with Applications to Aircraft-UAV Collisions	1
The Effect: An Introduction to Research Design and Causality (2nd ed.)	1
Comment: A Model-Free Method for Input-Output Space-Filling Design	1
Signal Classification in Large-Scale Multi-Sequence Integrative Analysis Under the HMM Dependence	1
A Spatially Correlated Competing Risks Time-to-Event Model for Supercomputer GPU Failure Data	1
Robust Covariance Estimation and Explainable Outlier Detection for Matrix-Valued Data	1
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	1
Label-Noise Robust Deep Generative Model for Semi-Supervised Learning	1
Discrepancy Measures for Global Sensitivity Analysis	1
D - and A -Optimal Screening Designs	1
Adaptive Bi-Level Variable Selection of Conditional Main Effects for Generalized Linear Models	1
Practical and Optimal Likelihood Intervals and Regions for Weibull and Gumbel Distributions	1
The Energy of Data and Distance Correlation,	1
Fractional Cross-Validation for Optimizing Hyperparameters of Supervised Learning Algorithms	1
Inference for the Optimum Using Linear Regression Models with Discrete Inputs	1
Cause and Effect Business Analytics and Data Science	1
Temporal Characterization and Filtering of Sensor Data to Support Anomaly Detection	1
The Polls Weren’t Wrong	1
Models for Multi-State Survival Data Rates, Risks, and Pseudo-Values, 1st ed.	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

Feature Detection and Hypothesis Testing for Extremely Noisy Nanoparticle Images using Topological Data Analysis	1
Rejoinder	1
Distribution-on-Scalar Single-Index Quantile Regression Model for Handling Tumor Heterogeneity	1
Real-Time Monitoring of Dynamic Tensor Data with Longitudinal Patterns: A Tensor Graphical LASSO Approach	1
Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing	1
Foundations of Statistical Mechanics Foundations of Statistical Mechanics Roman Frigg and Charlotte Werndl, UK: Cambridge University Press, 2024, 84 pp., $22.00, ISBN 97	1
Dual-Orthogonal Arrays for Order-of-Addition Two-Level Factorial Experiments	1
DeepMIDE: A Multi-Output Spatio-Temporal Method for Ultra-Scale Offshore Wind Energy Forecasting	1
Abnormal Component Analysis	1
Vedic Mathematics: A Mathematical Tale from the Ancient Veda to Modern Times	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
Remaining Useful Life Prediction of Lithium-Ion Batteries Using Monotone Decomposition	1
The History of Correlation	1
Robust Design for Order-of-Addition Experiments	1
An Adaptive Sampling Strategy for Real-Time Anomaly Detection with Unmanned Sensing Vehicles	1