default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTechnometrics, Volume 66
Volume 66, Number 1, January 2024
- Moses Y.-H. Chan
, Matthew Plumlee, Stefan M. Wild:
Constructing a Simulation Surrogate with Partially Observed Output. 1-13 - Maoyu Zhang, Yan Song, Wenlin Dai:
Fast Robust Location and Scatter Estimation: A Depth-based Method. 14-27 - Jiannan Yang:
Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition. 28-39 - Xiulin Xie, Peihua Qiu:
A General Framework for Robust Monitoring of Multivariate Correlated Processes. 40-54 - Jonathan Rougier, Andrew Duncan:
Bayesian Modeling and Inference for One-Shot Experiments. 55-64 - Shangkun Wang, Adam P. Generale, Surya R. Kalidindi, V. Roshan Joseph:
Sequential Designs for Filling Output Spaces. 65-76 - Tong Wu, Yudong Wang, Zhi-Sheng Ye, Nan Chen:
Spatio-Temporal Analysis and Prediction of Mass Telecommunication Base Station Failure Events. 77-89 - Seokhyun Chung, Raed Al Kontar:
Federated Multi-Output Gaussian Processes. 90-103 - Anna Malinovskaya, Pavlo Mozharovskyi, Philipp Otto:
Statistical Process Monitoring of Artificial Neural Networks. 104-117 - Xin Ye, Jiaxiang Cai, Loon Ching Tang, Zhi-Sheng Ye:
Statistical Modeling of the Effectiveness of Preventive Maintenance for Repairable Systems. 118-130 - Shuangzhe Liu:
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 Hall/CRC, 2022, 200 pages 67 B/W illustrations, $88, hardcover, ISBN 9780367474072 (hbk); 9780367472306 (pbk); 9781003035343 (ebk): Norma Faris Hubele, New York: Chapman and Hall/CRC, 2022, 200 pages 67 B/W illustrations, $88, hardcover, ISBN 9780367474072 (hbk); 9780367472306 (pbk); 9781003035343 (ebk). 131-132 - Firdous Ahmad Mala, Shahid Abdullah Dar:
Ethics in Information Technology: A Practical Guide Ethics in Information Technology: A Practical Guide , G. K. Awari and Sarvesh V. Warjurkar, Boca Raton, FL: CRC Press, 2022, 213 pp., $53.59, ISBN 9781032163796: G. K. Awari and Sarvesh V. Warjurkar, Boca Raton, FL: CRC Press, 2022, 213 pp., $53.59, ISBN 9781032163796. 132-133 - Tri Astaria, Yoppy Wahyu Purnomo, Fery Muhamad Firdaus:
Handbook of Statistical Methods for Randomized Controlled Trials, 1st ed.Edited by KyungMann Kim, Frank Bretz, Ying Kuen K. Cheung, Lisa V. Hampson, New York: Chapman & Hall, 2023, 654 pp., £47.99 (paperback), ISBN 9781032009100 Handbook of Statistical Methods for Randomized Controlled Trials, 1st ed. Edited by KyungMann Kim, Frank Bretz, Ying Kuen K. Cheung, Lisa V. Hampson, New York: Chapman & Hall, 2023, 654 pp., £47.99 (paperback), ISBN 9781032009100. 133-134 - Stan Lipovetsky:
Quantitative Investing: from Theory to Industry Quantitative Investing: from Theory to Industry , Lingjie Ma, Cham, Switzerland: Springer Nature Switzerland AG, 2020, xvii + 455 pp., 35 b/w and 110 color illustrations, $89.99 (pbk), ISBN 978-3-030-47204-7: Lingjie Ma, Cham, Switzerland: Springer Nature Switzerland AG, 2020, xvii + 455 pp., 35 b/w and 110 color illustrations, $89.99 (pbk), ISBN 978-3-030-47204-7. 134-136 - Zulfaidil, Utari Akhir Gusti, Waliyyatu Azzahra, Gantina Rachmaputri:
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, Foreword by John Vogl, New York, NY: Sports Publishing, 2023, 224 pp., $19.99 (ppb), ISBN 9781683584667: Edited by Kevin Snow, Foreword by John Vogl, New York, NY: Sports Publishing, 2023, 224 pp., $19.99 (ppb), ISBN 9781683584667. 136-137 - Antony Ndolo:
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. Begovic, and Hoboken, NJ: Wiley-IEEE Press, 2021, 512 pp, $140.00, ISBN 978-1-119-42231-0: Shady S. Refaat, Omar Ellabban, Sertac Bayhan, Haitham Abu-Rub, Dr. Frede Blaabjerg, Miroslav M. Begovic, and Hoboken, NJ: Wiley-IEEE Press, 2021, 512 pp, $140.00, ISBN 978-1-119-42231-0. 137-139 - Stan Lipovetsky:
(Almost) Impossible Integrals, Sums, and Series (Almost) Impossible Integrals, Sums, and Series , Cornel Ioan Vălean, Cham, Switzerland: Springer Nature Switzerland AG, 2019, xxxviii + 539 pp., $69.99 (hbk), ISBN 978-3-03-002461-1: Cornel Ioan Vălean, Cham, Switzerland: Springer Nature Switzerland AG, 2019, xxxviii + 539 pp., $69.99 (hbk), ISBN 978-3-03-002461-1. 139
Volume 66, Number 2, April 2024
- Guan-Qi Fang, Rong Pan:
A Class of Hierarchical Multivariate Wiener Processes for Modeling Dependent Degradation Data. 141-156 - Özge Sürer, Matthew Plumlee, Stefan M. Wild:
Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models. 157-171 - Robert W. Mee, Hui Li:
Inference for the Optimum Using Linear Regression Models with Discrete Inputs. 172-181 - Wendong Li, Dongdong Xiang, Gongtao Chen, Peihua Qiu:
Signal Classification in Large-Scale Multi-Sequence Integrative Analysis Under the HMM Dependence. 182-195 - John C. Yannotty, Thomas J. Santner, Richard J. Furnstahl, Matthew T. Pratola:
Model Mixing Using Bayesian Additive Regression Trees. 196-207 - Dave Osthus, Brian P. Weaver, Lauren J. Beesley, Kelly R. Moran, Madeline A. Stricklin, Eric J. Zirnstein, Paul H. Janzen, Daniel B. Reisenfeld:
Towards Improved Heliosphere Sky Map Estimation with Theseus. 208-226 - Zihan Zhang, Shancong Mou, Kamran Paynabar, Jianjun Shi:
Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data. 227-239 - Zheng Zhou, Zebin Yang, Aijun Zhang, Yong-Dao Zhou:
Efficient Model-Free Subsampling Method for Massive Data. 240-252 - Suk Joo Bae, Byeong Min Mun, Xiaoyan Zhu:
A Proportional Intensity Model with Frailty for Missing Recurrent Failure Data. 253-266 - Yi Ji, Simon Mak, Derek Soeder, Jean-François Paquet, Steffen A. Bass:
A Graphical Multi-Fidelity Gaussian Process Model, with Application to Emulation of Heavy-Ion Collisions. 267-281 - Jingjing Fan, Abhra Sarkar:
Bayesian Semiparametric Local Clustering of Multiple Time Series Data. 282-294 - Akhil Vakayil, V. Roshan Joseph:
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling. 295-305 - Giano Excelsis Pangemanan, Tamalia, Hesti Indriani, Suprianto:
Mathematical Modeling and Soft Computing in Epidemiology Mathematical Modeling and Soft Computing in Epidemiology , Edited by Jyoti Mishra, Ritu Agarwal, and Abdon Atangana, 1st ed., Boca Raton, FL: CRC Press, 2021, 440 pp., £120.00 (hbk), ISBN 9780367903053: Edited by Jyoti Mishra, Ritu Agarwal, and Abdon Atangana, 1st ed., Boca Raton, FL: CRC Press, 2021, 440 pp., £120.00 (hbk), ISBN 9780367903053. 306-307 - Vira Ananda, Visi Komala Sari, Anisah, Utriweni Mukhaiyar:
Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests Faming Liang and Bochao Jia, New York: Chapman and Hall/CRC, 2023, 150 pp., $120.00, ISBN 9780429061189: Faming Liang and Bochao Jia, New York: Chapman and Hall/CRC, 2023, 150 pp., $120.00, ISBN 9780429061189. 308-309 - Zulfaidil, Dewi Syitra Rumadaul, Esther Yolandyne Bunga, Safril, Sri Redjeki Pudjaprasetya, Warsoma Djohan:
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, ISBN 9780367635121: Edited by J. Sunil Rao, Boca Raton, CRC Press, 2023, 298 pp., £120.00, ISBN 9780367635121. 309-311 - Stan Lipovetsky:
Essential Mathematics for Engineers and Scientists Essential Mathematics for Engineers and Scientists Thomas J. Pence and Indrek S. Wichman, New York: Cambridge University Press, 2020, xx + 736 pp., $135.00, ISBN 978-1-108-42544-5 (hbk): Thomas J. Pence and Indrek S. Wichman, New York: Cambridge University Press, 2020, xx + 736 pp., $135.00, ISBN 978-1-108-42544-5 (hbk). 311-313 - Eduwin Saputra, Taufik Hidayat, Fajri Khatami, Muh. Rizal B:
Data Analytics for Process Engineers; Prediction, Control, and Optimization Data Analytics for Process Engineers; Prediction, Control, and Optimization Daniela Galatro and Stephen Dawe, Cham: Springer, 2024, 145 pp., €32.09 (eBook), ISBN: 978-3-031-46866-7: Daniela Galatro and Stephen Dawe, Cham: Springer, 2024, 145 pp., €32.09 (eBook), ISBN: 978-3-031-46866-7. 313-314 - Firdous Ahmad Mala, Snowbar Majeed:
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: 9781003218012: Sarah Lin and Dorris Scott, Boca Raton, FL: CRC Press, 2023, 200 pp., $69.95, ISBN: 9781003218012. 314-315 - Stephanie Elysia Chungdinata, Andriko, Nathan, Zulfaidil, Maya Nabila:
Foundations of Statistical Mechanics Foundations of Statistical Mechanics Roman Frigg and Charlotte Werndl, UK: Cambridge University Press, 2024, 84 pp., $22.00, ISBN 9781009016490: Roman Frigg and Charlotte Werndl, UK: Cambridge University Press, 2024, 84 pp., $22.00, ISBN 9781009016490. 315-316 - Stan Lipovetsky:
Quantifying Counterfactual Military History Quantifying Counterfactual Military History Brennen Fagan, Ian Horwood, Niall MacKay, Christopher Price, and A. Jamie Wood, Boca Raton, FL: CRC Press/Taylor & Francis Group, Chapman & Hall Books, 2024, ix + 228 pp., $ 74.95 (hbk), ISBN 978-1-138-59452-4: Brennen Fagan, Ian Horwood, Niall MacKay, Christopher Price, and A. Jamie Wood, Boca Raton, FL: CRC Press/Taylor & Francis Group, Chapman & Hall Books, 2024, ix + 228 pp., $ 74.95 (hbk), ISBN 978-1-138-59452-4. 317-318
Volume 66, Number 3, July 2024
- Adel Ahmadi Nadi, Stefan H. Steiner, Nathaniel T. Stevens:
Assessing Measurement System Agreement in the Presence of Reproducibility and Repeatability. 319-330 - Yan Gong, Peng Zhong, Thomas Opitz, Raphaël Huser:
Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning. 331-346 - Arnald Puy, Pamphile T. Roy, Andrea Saltelli:
Discrepancy Measures for Global Sensitivity Analysis. 347-357 - Joonpyo Kim, Hee-Seok Oh, Haeran Cho:
Moving Sum Procedure for Change Point Detection under Piecewise Linearity. 358-367 - Jiangyan Zhao, Jin Xu:
Bayesian Optimization via Exact Penalty. 368-380 - Jun Jin, Jun Yan, Robert H. Aseltine, Kun Chen:
Transfer Learning with Large-Scale Quantile Regression. 381-393 - Pierre Barbillon, Anabel Forte, Rui Paulo:
Screening the Discrepancy Function of a Computer Model. 394-405 - Chih-Li Sung, Wenjia Wang, Liang Ding, Xingjian Wang:
Mesh-Clustered Gaussian Process Emulator for Partial Differential Equation Boundary Value Problems. 406-421 - Sharmistha Guha, Rajarshi Guhaniyogi:
Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data. 422-437 - Yue Jiang, Ana María Estrada Gómez:
An Adaptive Sampling Strategy for Real-Time Anomaly Detection with Unmanned Sensing Vehicles. 438-454 - Tamara Dolski, Elaine T. Spiller, Susan E. Minkoff:
Gaussian Process Emulation for High-Dimensional Coupled Systems. 455-469 - Wonmo Koo, Eun-Yeol Ma, Heeyoung Kim:
Deep Latent Factor Model for Spatio-Temporal Forecasting. 470-482 - David J. Olive:
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 + 310 pp., $115.00, ISBN 978-0429160080.: W. J. Hall and D. Oakes, Boca Raton, FL: Chapman and Hall, CRC Press, 2024, x + 310 pp., $115.00, ISBN 978-0429160080. 483-484 - Stan Lipovetsky:
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 & Francis Group, Chapman and Hall, 2024, xvii + 339 pp., $ 79.95 (pbk), ISBN 978-1-032-50754-5.: Edited by Bernd Bischl, Raphael Sonabend, Lars Kotthoff, and Michel Lang, Boca Raton, FL: CRC Press, Taylor & Francis Group, Chapman and Hall, 2024, xvii + 339 pp., $ 79.95 (pbk), ISBN 978-1-032-50754-5. 484-485 - Sukardi, Puji Lestari:
Statistical Inference Based on Kernel Distribution Function EstimatorsStatistical Inference Based on Kernel Distribution Function Estimators, Rizky Reza Fauzi and Yoshihiko Maesono, Singapore: Springer Nature Singapore Pte Ltd, 2023, 103 pp., $39.99, ISBN 9789819918621.: Rizky Reza Fauzi and Yoshihiko Maesono, Singapore: Springer Nature Singapore Pte Ltd, 2023, 103 pp., $39.99, ISBN 9789819918621. 485-487 - Stan Lipovetsky:
Statistical Modeling of Occupant Behavior Statistical Modeling of Occupant Behavior , JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin Yilmaz, Verena MarieBarthelmes, and Henrik Madsen, Boca Raton, FL: CRC Press, Taylor & Francis Group, Chapman and Hall, 2024, xv + 366 pp., 35 b/w illustrations, $ 160.00 (hbk), ISBN 978-1-032-33460-8.: JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin Yilmaz, Verena MarieBarthelmes, and Henrik Madsen, Boca Raton, FL: CRC Press, Taylor & Francis Group, Chapman and Hall, 2024, xv + 366 pp., 35 b/w illustrations, $ 160.00 (hbk), ISBN 978-1-032-33460-8. 487-488 - Manap Trianto:
Computational and Analytic Methods in Biological Sciences, 1st ed. Computational and Analytic Methods in Biological Sciences, 1st ed. , Edited by Akshara Makrariya, Brajesh Kumar Jha, Rabia Musheer, Anant Kant Shukla, Amrita Jha, Parvaiz Ahmad Naik, Denmark, FL: River Publishers Series in Biomedical Engineering, 2023, 324 pp., £99.99, ISBN: 9788770226950.: Edited by Akshara Makrariya, Brajesh Kumar Jha, Rabia Musheer, Anant Kant Shukla, Amrita Jha, Parvaiz Ahmad Naik, Denmark, FL: River Publishers Series in Biomedical Engineering, 2023, 324 pp., £99.99, ISBN: 9788770226950. 489-490 - Zulfaidil, La Ode Muhamad Iqbal, Riani Utami, Sri Redjeki Pudjaprasetya, Warsoma Djohan:
Molecular Networking Statistical Mechanics in the Age of AI and Machine Learning Molecular Networking Statistical Mechanics in the Age of AI and Machine Learning , Edited by Caroline Desgranges and Jerome Delhommelle, Boca Raton, CRC Press, 2024, 248 pp., £ 110.00, ISBN 9780367438937.: Edited by Caroline Desgranges and Jerome Delhommelle, Boca Raton, CRC Press, 2024, 248 pp., £ 110.00, ISBN 9780367438937. 490-491 - Stan Lipovetsky:
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 , Jean-Patrick Connerade, alias Chaunes. Singapore: World Scientific, 2022, xviii + 227 pp., $ 28.00 (pbk), ISBN 978-1-80061-014-9.: Jean-Patrick Connerade, alias Chaunes. Singapore: World Scientific, 2022, xviii + 227 pp., $ 28.00 (pbk), ISBN 978-1-80061-014-9. 491-493 - Egi Rahmansyah, Nur Hidayah, Megawati Zein Waliulu, Hawinda Restu Putri:
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. , Dothang Truong, CRC Press Taylor & Francis Group, 2024. IX + 565 pages, £59,99 (hbk) ISBN: 978-0-367-75538-6 (hbk). Boca Raton and Abingdon. Scope: Textbook. Level: Students, lecturers, researchers, and industry professionals from various backgrounds.: Dothang Truong, CRC Press Taylor & Francis Group, 2024. IX + 565 pages, £59,99 (hbk) ISBN: 978-0-367-75538-6 (hbk). Boca Raton and Abingdon. Scope: Textbook. Level: Students, lecturers, researchers, and industry professionals from various backgrounds. 493-494
Volume 66, Number 4, October 2024
- Anik Roy, Partha Sarathi Mukherjee:
Image Comparison Based On Local Pixel Clustering. 495-506 - Bianca Maria Colosimo, L. Allison Jones-Farmer, Fadel M. Megahed, Kamran Paynabar, Chitta Ranjan, William H. Woodall:
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice. 507-530 - Christian Capezza, Fabio Centofanti, Antonio Lepore, Biagio Palumbo:
Robust Multivariate Functional Control Chart. 531-547 - Zihan Zhang, Shancong Mou, Mostafa Reisi Gahrooei, Massimo Pacella, Jianjun Shi:
Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data Under Data-Sharing Constraints. 548-560 - Neelesh S. Upadhye, Raju Chowdhury:
Constrained Bayesian Optimization with Lower Confidence Bound. 561-574 - Noé Fellmann, Christophette Blanchet-Scalliet, Céline Helbert, Aurora Spagnol, Delphine Sinoquet:
Kernel-based Sensitivity Analysis for (Excursion) Sets. 575-587 - Jeremy Oguamalam, Una Radojicic, Peter Filzmoser:
Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional Data. 588-599 - Dongmin Li, Miao Bai, Xiaochen Xian:
Data-Driven Pathwise Sampling Approaches for Online Anomaly Detection. 600-613 - Edward Austin, Idris A. Eckley, Lawrence Bardwell:
Detection of Emergent Anomalous Structure in Functional Data. 614-624 - Sara Shashaani, Özge Sürer, Matthew Plumlee, Seth D. Guikema:
Building Trees for Probabilistic Prediction via Scoring Rules. 625-637 - Scott Koermer, Justin Loda, Aaron Noble, Robert B. Gramacy:
Augmenting a Simulation Campaign for Hybrid Computer Model and Field Data Experiments. 638-650 - Amandine Pierrot, Pierre Pinson:
On Tracking Varying Bounds When Forecasting Bounded Time Series. 651-661 - Ying Sheng, Jing Qin, Chiung-Yu Huang:
Sequential Data Integration Under Dataset Shift. 662-670 - Firdous Ahmad Mala, Ubaidullah Pandit:
Philosophies, Puzzles and Paradoxes: A Statistician's Search for Truth: Edited by Yudi Pawitan and Youngjo Lee, Florida, USA: CRC Press, Taylor & Francis Group, 2024 (hbk), $108.00, ISBN 9781032377407. 671-673 - Stan Lipovetsky:
Symbolic Regression: Gabriel Kronberger, Bogdan Burlacu, Michael Kommenda, Stephan M. Winkler, and Michael Affenzeller, Boca Raton, FL: Chapman and Hall/CRC Press, Taylor & Francis Group, 2024, xiv + 293 pp., $ 79.96 (hbk), ISBN 978-1-138-05481-3. 674-675 - E. Andry Dwi Kurniawan:
Robust Latent Feature Learning for Incomplete Big Data: Di Wu, Springer, 112 pp., $71 (pbk), ISBN: 978-9811981401. 675-677 - Firdous Ahmad Mala:
Value of Information for Healthcare Decision-Making: edited by Anna Heath, Natalia Kunst, Christopher Jackson, Florida, USA: CRC Press, Taylor & Francis Group, 2024 (hbk), 84.00, ISBN 9780367741013. 677-678 - Jemsri Stenli Batlajery, Helda Yunita Taihuttu:
Advances in Data Science and Analytics: Concepts and Paradigms (1st ed.): edited by M. Niranjanamurthy, Hemant Kumar Gianey, and Amir H. Gandomi, Beverly, MA: Scrivener Publishing, 2023, 353 pp., $165.22-$181.70 (HardCover), ISBN 9781119791881. 678-680 - Firdous Ahmad Mala:
Probability Modeling and Statistical Inference in Cancer Screening: edited by Dongfeng Wu, Florida, USA: CRC Press, 2024, 256 pp., $ 96 (hbk), ISBN 9781032513300. 680-681
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-02-09 14:47 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
