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ORCIDTechnometrics, Volume 61
Volume 61, Number 1, 2019
- Editorial Announcement. 1
- Daniel W. Apley:
Technometrics 2018 Editor's Report. 2-6
- Mickaël Binois
, Jiangeng Huang, Robert B. Gramacy, Mike Ludkovski:
Replication or Exploration? Sequential Design for Stochastic Simulation Experiments. 7-23
- V. Roshan Joseph, Li Gu, Shan Ba, William R. Myers:
Space-Filling Designs for Robustness Experiments. 24-37 - William Li, Robert W. Mee, Qi Zhou:
Using Individual Factor Information in Fractional Factorial Designs. 38-49
- Sobambo Sosina, E. Marielle Remillard, Qiaoying Zhang, Chad Vecitis, Tirthankar Dasgupta:
Response Surface Optimization in the Presence of Internal Noise With Application to Optimal Alignment of Carbon Nanotubes. 50-65
- Xu He:
Sliced Rotated Sphere Packing Designs. 66-76 - Joshua Lukemire, Abhyuday Mandal, Weng Kee Wong:
d-QPSO: A Quantum-Behaved Particle Swarm Technique for Finding D-Optimal Designs With Discrete and Continuous Factors and a Binary Response. 77-87 - Lawrence Bardwell, Paul Fearnhead, Idris A. Eckley, Simon Smith, Martin Spott:
Most Recent Changepoint Detection in Panel Data. 88-98 - Lukasz Smaga, Jin-Ting Zhang:
Linear Hypothesis Testing With Functional Data. 99-110 - Yunlu Jiang, You-Gan Wang, Liya Fu, Xueqin Wang:
Robust Estimation Using Modified Huber's Functions With New Tails. 111-122 - Anna Kiriliouk, Holger Rootzén, Johan Segers, Jennifer L. Wadsworth:
Peaks Over Thresholds Modeling With Multivariate Generalized Pareto Distributions. 123-135
- The 2017 Technometrics Prizes. 136-138
Volume 61, Number 2, 2019
- Beatriz Bueno-Larraz, Johannes Klepsch:
Variable Selection for the Prediction of C[0, 1]-Valued Autoregressive Processes using Reproducing Kernel Hilbert Spaces. 139-153 - Wenhao Hu, Eric B. Laber, Clay Barker, Leonard A. Stefanski:
Assessing Tuning Parameter Selection Variability in Penalized Regression. 154-164 - Mark Vere Culp, Kenneth Joseph Ryan, Prithish Banerjee, Michael Morehead:
On Data Integration Problems With Manifolds. 165-175 - Zhengling Qi, Yufeng Liu:
Convex Bidirectional Large Margin Classifiers. 176-186 - Bohai Zhang, Noel Cressie, Debra Wunch:
Inference for Errors-in-Variables Models in the Presence of Systematic Errors with an Application to a Satellite Remote Sensing Campaign. 187-201 - Matthias H. Y. Tan, Guilin Li:
Gaussian Process Modeling Using the Principle of Superposition. 202-218 - Alan R. Vazquez, Peter Goos, Eric D. Schoen:
Constructing Two-Level Designs by Concatenation of Strength-3 Orthogonal Arrays. 219-232 - Chun-Hao Yang, James V. Zidek, Samuel W. K. Wong:
Bayesian Analysis of Accumulated Damage Models in Lumber Reliability. 233-245 - Wujun Si, Qingyu Yang, Xin Wu:
Material Degradation Modeling and Failure Prediction Using Microstructure Images. 246-258 - Xin Zhang, Qing Mai:
Efficient Integration of Sufficient Dimension Reduction and Prediction in Discriminant Analysis. 259-272
- Joyce Nilsson Orsini:
Applied Quantitative Finance (3rd ed.). 273-280
- Correction. 281
Volume 61, Number 3, 2019
- Christopher T. Franck:
Detection of Hidden Additivity and Inference Under Model Uncertainty for Unreplicated Factorial Studies via Bayesian Model Selection and Averaging. 283-296 - V. Roshan Joseph, Dianpeng Wang, Li Gu, Shiji Lyu, Rui Tuo:
Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs. 297-308 - Wenjia Wang, Benjamin Haaland:
Controlling Sources of Inaccuracy in Stochastic Kriging. 309-321 - Pulong Ma, Emily Lei Kang, Amy Braverman, Hai M. Nguyen:
Spatial Statistical Downscaling for Constructing High-Resolution Nature Runs in Global Observing System Simulation Experiments. 322-340 - Alan R. Vazquez, Hongquan Xu:
Construction of Two-Level Nonregular Designs of Strength Three With Large Run Sizes. 341-353 - Eric Mittman, Colin Lewis-Beck, William Q. Meeker:
A Hierarchical Model for Heterogenous Reliability Field Data. 354-368 - Xiaolei Fang, Kamran Paynabar, Nagi Gebraeel:
Image-Based Prognostics Using Penalized Tensor Regression. 369-384 - Hao Yan, Kamran Paynabar, Massimo Pacella:
Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization. 385-395 - Boxiang Wang, Hui Zou:
A Multicategory Kernel Distance Weighted Discrimination Method for Multiclass Classification. 396-408 - Wei Qian, Wending Li, Yasuhiro Sogawa, Ryohei Fujimaki, Xitong Yang, Ji Liu:
An Interactive Greedy Approach to Group Sparsity in High Dimensions. 409-421
- Stan Lipovetsky:
Strategic Economic Decision-Making: Using Bayesian Belief Networks to Solve Complex Problems. 422 - Stan Lipovetsky:
Advances in Latent Variables: Methods, Models and Applications. 423-424 - Stan Lipovetsky:
Applied Data-Centric Social Sciences: Concepts, Data, Computation, and Theory. 424-425 - Stan Lipovetsky:
Machine Learning in Medicine - A Complete Overview. 425-426 - Abhirup Mallik:
Wavelet Packets and Their Statistical Applications. 426 - M. Rauf Ahmad:
Statistical Analysis of Noise Estimation in MRI: Modeling, Filtering and Estimation. 426-427 - Morteza Marzjarani:
Simulation and the Monte Carlo Method (3rd ed.). 427-428
Volume 61, Number 4, 2019
- Daniel Peña, Ruey S. Tsay, Ruben H. Zamar:
Empirical Dynamic Quantiles for Visualization of High-Dimensional Time Series. 429-444 - Huang Huang, Ying Sun:
A Decomposition of Total Variation Depth for Understanding Functional Outliers. 445-458 - Mia Hubert, Peter J. Rousseeuw, Wannes Van Den Bossche:
MacroPCA: An All-in-One PCA Method Allowing for Missing Values as Well as Cellwise and Rowwise Outliers. 459-473 - Dario Azzimonti, David Ginsbourger, Jérémy Rohmer, Déborah Idier:
Profile Extrema for Visualizing and Quantifying Uncertainties on Excursion Regions: Application to Coastal Flooding. 474-493 - An-Ting Jhuang, Montserrat Fuentes, Jacob L. Jones, Giovanni Esteves, Chris M. Fancher, Marschall Furman, Brian J. Reich:
Spatial Signal Detection Using Continuous Shrinkage Priors. 494-506 - Karen Kazor, Amanda S. Hering:
Mixture of Regression Models for Large Spatial Datasets. 507-523 - Wilmina M. Marget, Max D. Morris:
Central Composite Experimental Designs for Multiple Responses With Different Models. 524-532 - Peter Goos, Bradley A. Jones:
Optimal Experimental Design in the Presence of Nested Factors. 533-544 - Simon Mak, C. F. Jeff Wu:
Analysis-of-Marginal-Tail-Means (ATM): A Robust Method for Discrete Black-Box Optimization. 545-559
- Subir Ghosh:
Lectures on Categorical Data Analysis. 560 - Jian Guo:
Bayesian Inference - Data Evaluation and Decisions (2nd ed.). 561-562 - Stan Lipovetsky:
Digital Humanities and Film Studies: Visualising Dziga Vertov's Work. 562-563 - Stan Lipovetsky:
Simulating Societal Change: Counterfactual Modelling for Social and Policy Inquiry. 563-565 - Morteza Marzjarani:
Exploratory Data Analysis With MATLAB. 565-566 - Nozer D. Singpurwalla, Boya Lai:
Foundations of Info-Metrics (Modeling, Inference and Imperfect Information). 566-567 - S. Ejaz Ahmed:
Risk and Reward: The Science of Casino Blackjack (2nd ed.). 567 - S. Ejaz Ahmed:
Continuous Time Modeling in the Behavioural and Related Sciences. 567-568 - S. Ejaz Ahmed:
Dynamic Neuroscience Statistic, Modeling, and Control. 568 - S. Ejaz Ahmed:
Partial Least Squares Path Modeling. 568-569
- Technometrics Editorial Collaborators. i-ii
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