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ORCIDTechnometrics, Volume 62
Volume 62, Number 1, 2020
- Daniel W. Apley:
Technometrics 2019 Editor's Report. 1-5
- Daniel J. Eck, R. Dennis Cook, Christopher J. Nachtsheim, Thomas A. Albrecht:
Multivariate Design of Experiments for Engineering Dimensional Analysis. 6-20 - José Núñez Ares
, Peter Goos:
Enumeration and Multicriteria Selection of Orthogonal Minimally Aliased Response Surface Designs. 21-36 - Alan R. Vazquez, Peter Goos, Eric D. Schoen:
Projections of Definitive Screening Designs by Dropping Columns: Selection and Evaluation. 37-47 - Nam-Ky Nguyen, Tung-Dinh Pham, Mai Phuong Vuong:
Constructing D-Efficient Mixed-Level Foldover Designs Using Hadamard Matrices. 48-56 - Kalliopi Mylona, Steven G. Gilmour, Peter Goos:
Optimal Blocked and Split-Plot Designs Ensuring Precise Pure-Error Estimation of the Variance Components. 57-70 - Peihua Qiu, Wendong Li, Jun Li:
A New Process Control Chart for Monitoring Short-Range Serially Correlated Data. 71-83 - Wendong Li, Dongdong Xiang, Fugee Tsung, Xiaolong Pu:
A Diagnostic Procedure for High-Dimensional Data Streams via Missed Discovery Rate Control. 84-100 - Jan Terje Kvaløy, Bo Henry Lindqvist:
A Class of Tests for Trend in Time Censored Recurrent Event Data. 101-115 - Xiaowei Yue, Jin Gyu Park, Zhiyong Liang, Jianjun Shi:
Tensor Mixed Effects Model With Application to Nanomanufacturing Inspection. 116-129
- Stan Lipovetsky:
Tracing the Life Cycle of Ideas in the Humanities and Social Sciences. 130-132 - Stan Lipovetsky:
Prehistoric Warfare and Violence: Quantitative and Qualitative Approaches. 132-135 - Stan Lipovetsky:
Modern Psychometrics With R. 135-137 - Stan Lipovetsky:
Lexical Collocation Analysis: Advances and Applications. 137 - Stan Lipovetsky:
Let the Evidence Speak - Using Bayesian Thinking in Law, Medicine, Ecology and Other Areas. 137-138 - Stan Lipovetsky:
Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data. 138-139 - S. Ejaz Ahmed:
Sequence Analysis and Related Approaches: Innovative Methods and Applications. 139-140 - S. Ejaz Ahmed:
Practical Tools for Designing and Weighting Survey Samples (2nd ed.). 140
- The 2018 Technometrics Prizes. 141-144
- 2018 Ziegel Award Announcement. 145
Volume 62, Number 2, 2020
- Nada Abdalla, Sudipto Banerjee, Gurumurthy Ramachandran, Susan Arnold:
Bayesian State Space Modeling of Physical Processes in Industrial Hygiene. 147-160 - Amal Agarwal, Lingzhou Xue:
Model-Based Clustering of Nonparametric Weighted Networks With Application to Water Pollution Analysis. 161-172 - Youngmin Lee, Taewon Jeong, Heeyoung Kim:
A Bayesian Nonparametric Mixture Measurement Error Model With Application to Spatial Density Estimation Using Mobile Positioning Data With Multi-Accuracy and Multi-Coverage. 173-183 - Hang Dong, Nan Chen, Kaibo Wang:
Modeling and Change Detection for Count-Weighted Multilayer Networks. 184-195 - Wei Hu, Weining Shen, Hua Zhou, Dehan Kong:
Matrix Linear Discriminant Analysis. 196-205 - Xiao Liu, Rong Pan:
Analysis of Large Heterogeneous Repairable System Reliability Data With Static System Attributes and Dynamic Sensor Measurement in Big Data Environment. 206-222 - Chien-Yu Peng, Ya-Shan Cheng:
Student-t Processes for Degradation Analysis. 223-235 - Peihua Qiu, Zhiming Xia, Lu You:
Process Monitoring ROC Curve for Evaluating Dynamic Screening Methods. 236-248 - Lu You, Peihua Qiu:
An Effective Method for Online Disease Risk Monitoring. 249-264 - Sumin Shen, Lulu Kang, Xinwei Deng:
Additive Heredity Model for the Analysis of Mixture-of-Mixtures Experiments. 265-276
- Elsayed A. Elsayed:
Data Science for Wind Energy. 1-278 - Subir Ghosh:
The Information Theory of Comparisons, With Applications to Statistics and the Social Sciences. 1-278 - Stan Lipovetsky:
Handbook of the Shapley Value. 1-280 - Stan Lipovetsky:
Introduction to Data Science: Data Analysis and Prediction Algorithms With R. 1-282 - Stan Lipovetsky:
Practical Multivariate Analysis (6th ed.). 1-283 - Stan Lipovetsky:
Statistical Inference via Data Science: A Modern Dive Into R and the Tidyverse. 1-283 - Lu Lu:
Statistical Intervals: A Guide for Practitioners and Researchers (2nd ed.). 1-285 - Fan Dai, Ranjan Maitra:
Practical Text Analytics: Maximizing the Value of Text Data. 1-286 - Abhirup Mallik:
A Parametric Approach to a Nonparametric Statistics. 1-287 - Morteza Marzjarani:
Statistical Methods in Social Science Research. 1-288 - David J. Olive:
Statistical Programing in SAS (2nd ed.). 1-288 - William L. Seaver:
Time Series: A First Course With Bootstrap Starter. 1-289 - S. Ejaz Ahmed:
Diagnostic Meta-Analysis: A Useful Tool for Clinical Decision-Making. 1-289 - S. Ejaz Ahmed:
Probability (2nd ed.). 1-290
Volume 62, Number 3, 2020
- Yichi Zhang, Siyu Tao, Wei Chen, Daniel W. Apley:
A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors. 291-302 - Tony Pourmohamad, Herbert K. H. Lee:
The Statistical Filter Approach to Constrained Optimization. 303-312
- Youngmin Lee, Heeyoung Kim:
Bayesian Nonparametric Joint Mixture Model for Clustering Spatially Correlated Time Series. 313-329
- Anthony-Alexander Christidis, Laks V. S. Lakshmanan, Ezequiel Smucler, Ruben H. Zamar:
Split Regularized Regression. 330-338 - Simon Fontaine, Yi Yang, Wei Qian, Yuwen Gu, Bo Fan:
A Unified Approach to Sparse Tweedie Modeling of Multisource Insurance Claim Data. 339-356
- Marzieh Khakifirooz, Sheng-Tsaing Tseng, Mahdi Fathi:
Model Misspecification of Generalized Gamma Distribution for Accelerated Lifetime-Censored Data. 357-370 - Miroslav Vorechovský, Jan Eliás:
Modification of the Maximin and ϕp (Phi) Criteria to Achieve Statistically Uniform Distribution of Sampling Points. 371-386 - Soheil Sadeghi, Peter Chien, Neeraj Arora:
Sliced Designs for Multi-Platform Online Experiments. 387-402
- Bradley A. Jones, Ryan Lekivetz, Dibyen Majumdar, Christopher J. Nachtsheim, Jonathan W. Stallrich:
Construction, Properties, and Analysis of Group-Orthogonal Supersaturated Designs. 403-414
- Subir Ghosh:
Computer Intensive Methods in Statistics. 415 - Subir Ghosh:
Probability and Bayesian Modeling. 415-416 - Subir Ghosh:
The Measurement of Association: A Permutation Statistical Approach. 416 - Vyacheslav Lyubchich:
Elements of Copula Modeling With R. 416 - Srishti Vishwakarma, Vyacheslav Lyubchich:
Spatial Ecology and Conservation Modeling: Applications With R. 416-417 - Roger M. Sauter:
Advanced R (2nd ed.). 417
Volume 62, Number 4, 2020
- V. Roshan Joseph:
Editorial: Celebrating 50 Years of Ridge Regression. 419 - Roger W. Hoerl:
Ridge Regression: A Historical Context. 420-425 - Trevor Hastie:
Ridge Regularization: An Essential Concept in Data Science. 426-433 - Jianqing Fan, Runze Li:
Comment: Feature Screening and Variable Selection via Iterative Ridge Regression. 434-437 - Edward I. George, Veronika Rocková:
Comment: Regularization via Bayesian Penalty Mixing. 438-442 - Can M. Le, Keith D. Levin, Peter J. Bickel, Elizaveta Levina:
Comment: Ridge Regression and Regularization of Large Matrices. 443-446 - Ming Yuan:
Comment: From Ridge Regression to Methods of Regularization. 447-450 - Nam-Hee Choi, Kerby Shedden, Gongjun Xu, Xuefei Zhang, Ji Zhu:
Comment: Ridge Regression, Ranking Variables and Improved Principal Component Regression. 451-455 - Hui Zou:
Comment: Ridge Regression - Still Inspiring After 50 Years. 456-458
- Andrew J. Landgraf, Yoonkyung Lee:
Generalized Principal Component Analysis: Projection of Saturated Model Parameters. 459-472 - Yixin Wang, Stefan Van Aelst:
Sparse Principal Component Analysis Based on Least Trimmed Squares. 473-485 - Qiong Zhang, Youngdeok Hwang:
Sequential Model-Based Optimization for Continuous Inputs with Finite Decision Space. 486-498 - Jianguo Wu, Honglun Xu, Feng Ju, Tzu-Liang (Bill) Tseng:
Adaptive Minimum Confidence Region Rule for Multivariate Initialization Bias Truncation in Discrete-Event Simulations. 499-512 - Qi Gao, Randy C. S. Lai, Thomas C. M. Lee, Yao Li:
Uncertainty Quantification for High-Dimensional Sparse Nonparametric Additive Models. 513-524 - Li-Hsiang Lin, V. Roshan Joseph:
Transformation and Additivity in Gaussian Processes. 525-535 - Qiuzhuang Sun, Zhi-Sheng Ye, Yili Hong:
Statistical Modeling of Multivariate Destructive Degradation Tests With Blocking. 536-548
- Abhirup Datta, Hui Zou:
A Note on Cross-Validation for Lasso Under Measurement Errors. 549-556
- Stan Lipovetsky:
2ˆ5 Problems for STEM Education. 557-558 - Stan Lipovetsky:
Handbook of Military and Defense Operations Research. 559 - Stan Lipovetsky:
Integrals Related to the Error Function. 560 - Shin Ta Liu:
Machine Learning: A Practical Approach on the Statistical Learning. 560-561 - Donald E. Myers:
Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach. 561 - Peter Wludyka:
Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare. 561-562
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