Journal: Technometrics

Volume 67, Issue 3

367 -- 381Russell R. Barton, Max D. Morris. Experimental Design and Modeling for Forward-Inverse Maps
382 -- 383David M. Steinberg. Thoughts on Forward-Inverse Maps
384 -- 387Shangkun Wang, V. Roshan Joseph. Comment: A Model-Free Method for Input-Output Space-Filling Design
388 -- 390Christine M. Anderson-Cook, Lu Lu. Discussion of "Experimental Design and Modeling for Forward-Inverse Maps" by R.R. Barton and M.D. Morris
391 -- 393Youssef Marzouk 0001. Technometrics
394 -- 396Russell R. Barton, Max D. Morris. Rejoinder
397 -- 408Pratik Nag, Ying Sun 0002, Brian J. Reich. Bivariate DeepKriging for Large-Scale Spatial Interpolation of Wind Fields
409 -- 425Jiuyun Hu, Naichen Shi, Raed Al Kontar, Hao Yan. Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data
426 -- 439Maryclare Griffin, Gennady Samorodnitsky, David S. Matteson. Likelihood Inference for Possibly Nonstationary Processes via Adaptive Overdifferencing
440 -- 450Jiannan Yang. Derivative Based Global Sensitivity Analysis and Its Entropic Link
451 -- 463Yongxiang Li, Yunji Zhang, Qian Xiao, Jianguo Wu. Noise Resistant Control Charts for Detecting Periodicity from Correlation
464 -- 480Di Wang 0019, Andi Wang 0001, Xiaochen Xian, Yongxiang Li. Partially Observable Online Nonparametric Monitoring of Spatiotemporally Correlated Data Streams
481 -- 492Christopher Qian, Daniel Ries, Feng Liang 0002, Jason Adams. Regression Recalibration by Learning PIT Map Values
493 -- 504Jiaxiang Cai, William Q. Meeker, Zhi Sheng Ye. Optimal Planning of Destructive Degradation Tests
516 -- 530Marcus Mayrhofer, Una Radojicic, Peter Filzmoser. Robust Covariance Estimation and Explainable Outlier Detection for Matrix-Valued Data
531 -- 545Jie Min, Yili Hong 0001, William Q. Meeker, George Ostrouchov. A Spatially Correlated Competing Risks Time-to-Event Model for Supercomputer GPU Failure Data

Volume 67, Issue 2

193 -- 202Cristian Oliva-Aviles, Paloma Hauser. Tolerance Intervals Under a Class of Unbalanced Linear Mixed Models
203 -- 214Jaeshin Park, Eunshin Byon, Young Myoung Ko, Sara Shashaani. Strata Design for Variance Reduction in Stochastic Simulation
215 -- 224Conor Murphy, Jonathan A. Tawn, Zak Varty. Automated Threshold Selection and Associated Inference Uncertainty for Univariate Extremes
225 -- 237Benjamin K. Dahl, Matthew J. Heaton, Richard L. Warr, Jared D. Fisher, Grant G. Schultz. Modeling Crash Risk on Roadway Networks Using Bayesian Regression Trees
238 -- 253Peihong Xiao, Yudong Wang, Wenting Liu, Zhisheng Ye 0001. Remaining Useful Life Prediction Based on Forward Intensity
254 -- 266Jun Jin, Chao Ying, Zhou Yu. Distributed Estimation of Principal Support Vector Machines for Sufficient Dimension Reduction
267 -- 269James Yang, Trevor Hastie. Note on the Equivalence of Orthogonalizing EM and Proximal Gradient Descent
270 -- 282Gildas Mazo, Laurent Tournier. An Inference Method for Global Sensitivity Analysis
283 -- 292Takayuki Iguchi, Andrés F. Barrientos, Eric Chicken, Debajyoti Sinha. Profile Monitoring via Eigenvector Perturbation
293 -- 310Di Wang, Xiaochen Xian, Haidong Li. Spatiotemporal Interactive Modeling of Event-Based Dynamic Networks
311 -- 322Abdul-Nasah Soale. Detecting Influential Observations in Single-Index Fréchet Regression
323 -- 332Xingcai Zhou, Shengxian Ding, Jiangyan Wang, Rongjie Liu, Linglong Kong, Chao Huang. Distribution-on-Scalar Single-Index Quantile Regression Model for Handling Tumor Heterogeneity
333 -- 343Youngdeok Hwang, Hang J. Kim, Won Chang, Christian Hong, Steven N. MacEachern. Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments
344 -- 355Arnab Chakraborty, Soumendra Nath Lahiri. On Statistical Properties of a Veracity Scoring Method for Spatial Data
356 -- 358Stan Lipovetsky. Modeling Reality with Mathematics: Alfio Quarteroni, Cham, Switzerland: Springer/Springer Nature Switzerland AG, 2022, xix + 123 pp., 20 illustrations in color, $24.99 (hbk), ISBN 978-3-030-96161-9
358 -- 359Sangjin Kim, Jai Woo Lee. Text as Data: A New Framework for Machine Learning and the Social Sciences: Justin Grimmer, Margaret E. Roberts, and Brandon M. Stewart, Princeton, NJ: Princeton University Press, 2022, 360 pp. $99.95 (Hardcover), ISBN: 9780691207544, $43 (Paperback), ISBN: 9780691207551
359 -- 360Shuangzhe Liu, Yonghui Liu. Skew-Normal Model Theories and Their Applications: Rendao Ye, Kun Luo, Wenyan Zhu, Yue Qi, Boca Raton, FL: CRC Press, 2024, 272, with 19 B/W illustrations, ISBN 9781032694696 (Hardcover)
360 -- 362Cacu Cacu, Dadan Hermawan. Robust and Multivariate Statistical Methods: Festschrift in Honor of David E. Tyler: edited by Mengxi Yi and Klaus Nordhausen, Cham: Springer, 2023, XVIII + 495 pp., €149.79 (eBook), €179.79 (Softcover and Hardcover), ISBN 978-3-031-22687-8 (eBook), ISBN 978-3-031-22689-2 (Softcover), ISBN 978-3-031-22686-1 (Hardcover)
362 -- 363Johanes Robert Kera, Agri Satrio Adi Nugroho. Machine Learning For Transportation Research and Application: Yinhai Wang, Zhiyong Cui, and Ruimin Ke, Amsterdam, Netherlands: Elsevier, 2023, 231 pp., ISBN 978-0-323-96126-4
364 -- 365Oktaviyani Daswati, Yunia Hasnataeni. Applied Microbiome Statistics Correlation, Association, Interaction and Composition, 1st ed: Yinglin Xia and Jun Sun, Boca Raton and Oxon: CRC Press Taylor & Francis Group, 2024, 456 pp., 46 Color & 5 B/W Illustrations, £140.00 ISBN 978-0-367-63970-9. Scope: Text in Biostatistics Series. Level: academics, students, researcher, and practitioners

Volume 67, Issue 1

1 -- 10Bradley A. Jones, Ryan Lekivetz, Dibyen Majumdar, Christopher J. Nachtsheim. Screening Designs for Continuous and Categorical Factors
11 -- 22Guanzhou Wei, Feng Qiu, Xiao Liu. Convolutional Non-Homogeneous Poisson Process and its Application to Wildfire Ignition Risk Quantification for Power Delivery Networks
23 -- 31Haoxuan Wu, Toryn L. J. Schafer, Sean E. Ryan, David S. Matteson. Drift versus Shift: Decoupling Trends and Changepoint Analysis
32 -- 45Qiyuan Chen, Liangkui Jiang, Hantang Qin, Raed Al Kontar. Multi-Agent Collaborative Bayesian Optimization via Constrained Gaussian Processes
46 -- 57Henrik Imberg, Xiaomi Yang, Carol A. C. Flannagan, Jonas Bärgman. Active Sampling: A Machine-Learning-Assisted Framework for Finite Population Inference with Optimal Subsamples
58 -- 72Junoh Heo, Chih-Li Sung. Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments
73 -- 81Jordan Bryan, Peter D. Hoff, Christopher L. Osburn. Linear Source Apportionment Using Generalized Least Squares
82 -- 96Lei Jin, Bo Li. Scalable Methods for Multiple Time Series Comparison in Second Order Dynamics
97 -- 111Xuanjie Shao, Arnab Hazra, Jordan Richards, Raphaël Huser. Flexible Modeling of Nonstationary Extremal Dependence using Spatially Fused LASSO and Ridge Penalties
112 -- 121Romain Ait Abdelmalek-Lomenech, Julien Bect, Vincent Chabridon, Emmanuel Vázquez. Bayesian Sequential Design of Computer Experiments for Quantile Set Inversion
122 -- 132Jun Yu, HaiYing Wang 0004, Mingyao Ai. A Subsampling Strategy for AIC-based Model Averaging with Generalized Linear Models
133 -- 146Kellin N. Rumsey, Zachary K. Hardy, Cory Ahrens, Scott A. Vander Wiel. Co-Active Subspace Methods for the Joint Analysis of Adjacent Computer Models
147 -- 156Eloísa Díaz-Francés. Practical and Optimal Likelihood Intervals and Regions for Weibull and Gumbel Distributions
157 -- 167Toryn L. J. Schafer, David S. Matteson. Locally Adaptive Shrinkage Priors for Trends and Breaks in Count Time Series
168 -- 176Yiran Huang, Jian-Feng Yang. Robust Design for Order-of-Addition Experiments
177 -- 178Stan Lipovetsky. Correlation in Engineering and the Applied Sciences: Applications in R: Rajan Chattamvelli, Cham, Switzerland: Springer/Springer Nature Switzerland AG, 2024, xvi + 178 pp., $44.99 (hbk), ISBN 978-3-031-51014-4
178 -- 179Stan Lipovetsky. Advanced Statistical Methods: Sahana Prasad, Singapore: Springer Nature, 2024, xxiii + 218 pp., 63 b/w + 11 color illustrations, $119.99 (hbk), ISBN 978-981-99-7256-2
179 -- 181Stan Lipovetsky. Statistics Today: Everyday Applications, Research Questions, Insights, and Challenges: Edited by Claus Weihs, Walter Krämer, and Sarah Buschfeld, Berlin, Heidelberg, Germany: Springer Nature, 2024, xxi + 252 pp., 53 b/w + 46 color illustrations, $44.99 (hbk), ISBN 978-3-662-68906-6
181 -- 182Zulfaidil, Shelma Maharani Pelu. Intelligent Fatigue Statistics: By Zhentong Gao and Jiajin Xu, Boca Raton: CRC Press, 2024, 258 pp., £65.44, ISBN 9781003488477 (ebook)
182 -- 184Siti Mutiah, Indra Rivaldi Siregar. Models for Multi-State Survival Data Rates, Risks, and Pseudo-Values, 1st ed.: Per Kragh Andersen and Henrik Ravn, CRC Press Taylor & Francis Group, 2024, XIV + 292 pp., 94 B/W Illustrations, £61.59, ISBN: 978-0-367-14002-1. Boca Raton and Oxon. Scope: Texts in Statistical Science Series. Level: academics, graduate students, practitioners, and professionals
184 -- 185Fransiskus Serfian Jogo. Statistical Prediction and Machine Learning: John Tuhao Chen, Clement Lee, Lincy Y. Chen, CRC Press, 2024, 314 pp., $74.99, ISBN 9780429318689
186 -- 188James M. Lucas. OMARS Letter for Technometrics
189 -- 191Peter Goos, José Núñez Ares. Response to Letter to the Editor