Pub Date : 2023-07-03DOI: 10.1080/00401706.2023.2237825
Firdous Ahmad Mala
These tools and techniques rely heavily on additional concepts of algebraic geometry. In research on incidence theory, these tools and techniques could come extremely handy. However, anyone new to incidence theory may skip this chapter. All the chapters, except the second and the fourth, contain each a section, Open Problems, on open problems to incite further discussions and research in the subject. Besides, each chapter has a section, Exercises, to help readers check the extent of their understanding of the content. The book is a treasure of knowledge on incidence theory.
{"title":"Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports, 2nd ed.","authors":"Firdous Ahmad Mala","doi":"10.1080/00401706.2023.2237825","DOIUrl":"https://doi.org/10.1080/00401706.2023.2237825","url":null,"abstract":"These tools and techniques rely heavily on additional concepts of algebraic geometry. In research on incidence theory, these tools and techniques could come extremely handy. However, anyone new to incidence theory may skip this chapter. All the chapters, except the second and the fourth, contain each a section, Open Problems, on open problems to incite further discussions and research in the subject. Besides, each chapter has a section, Exercises, to help readers check the extent of their understanding of the content. The book is a treasure of knowledge on incidence theory.","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43021492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-03DOI: 10.1080/00401706.2023.2237820
Suprianto, Nur Alam
{"title":"Mathematical Modeling in Biology: A Research Methods Approach, 1st ed.","authors":"Suprianto, Nur Alam","doi":"10.1080/00401706.2023.2237820","DOIUrl":"https://doi.org/10.1080/00401706.2023.2237820","url":null,"abstract":"","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49640546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-03DOI: 10.1080/00401706.2023.2237826
Aminatus Sa'adah
and professionals. The style is so that mathematical jargon is not going to pose a threat to the readership of the book. Winston’s passion for both the subjects shines through in his writing, invigorating readers’ interest in the applications of mathematics beyond the classroom. The book encourages readers to view sports through a mathematical lens, prompting them to ask critical questions and challenge traditional assumptions. In conclusion, “Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports” is a captivating and comprehensive exploration of the intersection between mathematics and sports. Wayne L. Winston’s adept storytelling, combined with his deep understanding of both fields, creates an engaging reading experience for anyone intrigued by the analytical side of sports. Whether you are a sports enthusiast, a budding mathematician, or simply curious about the inner workings of game strategy and player performance, this book is an excellent choice that will leave you with a newfound appreciation for the power of mathematics in the realm of sports.
{"title":"Artificial Intelligence with Python","authors":"Aminatus Sa'adah","doi":"10.1080/00401706.2023.2237826","DOIUrl":"https://doi.org/10.1080/00401706.2023.2237826","url":null,"abstract":"and professionals. The style is so that mathematical jargon is not going to pose a threat to the readership of the book. Winston’s passion for both the subjects shines through in his writing, invigorating readers’ interest in the applications of mathematics beyond the classroom. The book encourages readers to view sports through a mathematical lens, prompting them to ask critical questions and challenge traditional assumptions. In conclusion, “Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports” is a captivating and comprehensive exploration of the intersection between mathematics and sports. Wayne L. Winston’s adept storytelling, combined with his deep understanding of both fields, creates an engaging reading experience for anyone intrigued by the analytical side of sports. Whether you are a sports enthusiast, a budding mathematician, or simply curious about the inner workings of game strategy and player performance, this book is an excellent choice that will leave you with a newfound appreciation for the power of mathematics in the realm of sports.","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45248494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-03DOI: 10.1080/00401706.2023.2237822
Firdous Ahmad Mala
{"title":"Polynomial Methods and Incidence Theory","authors":"Firdous Ahmad Mala","doi":"10.1080/00401706.2023.2237822","DOIUrl":"https://doi.org/10.1080/00401706.2023.2237822","url":null,"abstract":"","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49484672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-03DOI: 10.1080/00401706.2023.2237818
S. Lipovetsky
This section will review those books whose content and level reflect the general editorial policy of Technometrics. Publishers should send books for review to Ejaz Ahmed, Department of Mathematics and Sciences, Brock University, St. Catharines, ON L2S 3A1 (sahmed5@brocku.ca). The opinions expressed in this section are those of the reviewers. These opinions do not represent positions of the reviewers’ organization and may not reflect those of the editors or the sponsoring societies. Listed prices reflect information provided by the publisher and may not be current. The book purchase programs of the American Society for Quality can provide some of these books at reduced prices for members. For information, contact the American Society for Quality at 1 (800) 248-1946.
{"title":"The Energy of Data and Distance Correlation,","authors":"S. Lipovetsky","doi":"10.1080/00401706.2023.2237818","DOIUrl":"https://doi.org/10.1080/00401706.2023.2237818","url":null,"abstract":"This section will review those books whose content and level reflect the general editorial policy of Technometrics. Publishers should send books for review to Ejaz Ahmed, Department of Mathematics and Sciences, Brock University, St. Catharines, ON L2S 3A1 (sahmed5@brocku.ca). The opinions expressed in this section are those of the reviewers. These opinions do not represent positions of the reviewers’ organization and may not reflect those of the editors or the sponsoring societies. Listed prices reflect information provided by the publisher and may not be current. The book purchase programs of the American Society for Quality can provide some of these books at reduced prices for members. For information, contact the American Society for Quality at 1 (800) 248-1946.","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48332203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.1080/00401706.2023.2231491
Tong Wu, Yudong Wang, Z. Ye, Nan Chen
{"title":"Spatio-Temporal Analysis and Prediction of Mass Telecommunication Base Station Failure Events","authors":"Tong Wu, Yudong Wang, Z. Ye, Nan Chen","doi":"10.1080/00401706.2023.2231491","DOIUrl":"https://doi.org/10.1080/00401706.2023.2231491","url":null,"abstract":"","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48963131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-14DOI: 10.1080/00401706.2023.2224524
J. Rougier, Andrew Duncan
{"title":"Bayesian modeling and inference for one-shot experiments","authors":"J. Rougier, Andrew Duncan","doi":"10.1080/00401706.2023.2224524","DOIUrl":"https://doi.org/10.1080/00401706.2023.2224524","url":null,"abstract":"","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45285422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-12DOI: 10.1080/00401706.2023.2224411
Xiulin Xie, P. Qiu
{"title":"A General Framework for Robust Monitoring of Multivariate Correlated Processes","authors":"Xiulin Xie, P. Qiu","doi":"10.1080/00401706.2023.2224411","DOIUrl":"https://doi.org/10.1080/00401706.2023.2224411","url":null,"abstract":"","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44016168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-25DOI: 10.1080/00401706.2023.2246157
O. Surer, M. Plumlee, Stefan M. Wild
Simulation models of critical systems often have parameters that need to be calibrated using observed data. For expensive simulation models, calibration is done using an emulator of the simulation model built on simulation output at different parameter settings. Using intelligent and adaptive selection of parameters to build the emulator can drastically improve the efficiency of the calibration process. The article proposes a sequential framework with a novel criterion for parameter selection that targets learning the posterior density of the parameters. The emergent behavior from this criterion is that exploration happens by selecting parameters in uncertain posterior regions while simultaneously exploitation happens by selecting parameters in regions of high posterior density. The advantages of the proposed method are illustrated using several simulation experiments and a nuclear physics reaction model.
{"title":"Sequential Bayesian experimental design for calibration of expensive simulation models","authors":"O. Surer, M. Plumlee, Stefan M. Wild","doi":"10.1080/00401706.2023.2246157","DOIUrl":"https://doi.org/10.1080/00401706.2023.2246157","url":null,"abstract":"Simulation models of critical systems often have parameters that need to be calibrated using observed data. For expensive simulation models, calibration is done using an emulator of the simulation model built on simulation output at different parameter settings. Using intelligent and adaptive selection of parameters to build the emulator can drastically improve the efficiency of the calibration process. The article proposes a sequential framework with a novel criterion for parameter selection that targets learning the posterior density of the parameters. The emergent behavior from this criterion is that exploration happens by selecting parameters in uncertain posterior regions while simultaneously exploitation happens by selecting parameters in regions of high posterior density. The advantages of the proposed method are illustrated using several simulation experiments and a nuclear physics reaction model.","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45585917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-13DOI: 10.1080/00401706.2023.2216246
Maoyu Zhang, Yan Song, Wenlin Dai
The minimum covariance determinant (MCD) estimator is ubiquitous in multivariate analysis, the critical step of which is to select a subset of a given size with the lowest sample covariance determinant. The concentration step (C-step) is a common tool for subset-seeking; however, it becomes computationally demanding for high-dimensional data. To alleviate the challenge, we propose a depth-based algorithm, termed as texttt{FDB}, which replaces the optimal subset with the trimmed region induced by statistical depth. We show that the depth-based region is consistent with the MCD-based subset under a specific class of depth notions, for instance, the projection depth. With the two suggested depths, the texttt{FDB} estimator is not only computationally more efficient but also reaches the same level of robustness as the MCD estimator. Extensive simulation studies are conducted to assess the empirical performance of our estimators. We also validate the computational efficiency and robustness of our estimators under several typical tasks such as principal component analysis, linear discriminant analysis, image denoise and outlier detection on real-life datasets. A R package textit{FDB} and potential extensions are available in the Supplementary Materials.
{"title":"Fast robust location and scatter estimation: a depth-based method","authors":"Maoyu Zhang, Yan Song, Wenlin Dai","doi":"10.1080/00401706.2023.2216246","DOIUrl":"https://doi.org/10.1080/00401706.2023.2216246","url":null,"abstract":"The minimum covariance determinant (MCD) estimator is ubiquitous in multivariate analysis, the critical step of which is to select a subset of a given size with the lowest sample covariance determinant. The concentration step (C-step) is a common tool for subset-seeking; however, it becomes computationally demanding for high-dimensional data. To alleviate the challenge, we propose a depth-based algorithm, termed as texttt{FDB}, which replaces the optimal subset with the trimmed region induced by statistical depth. We show that the depth-based region is consistent with the MCD-based subset under a specific class of depth notions, for instance, the projection depth. With the two suggested depths, the texttt{FDB} estimator is not only computationally more efficient but also reaches the same level of robustness as the MCD estimator. Extensive simulation studies are conducted to assess the empirical performance of our estimators. We also validate the computational efficiency and robustness of our estimators under several typical tasks such as principal component analysis, linear discriminant analysis, image denoise and outlier detection on real-life datasets. A R package textit{FDB} and potential extensions are available in the Supplementary Materials.","PeriodicalId":22208,"journal":{"name":"Technometrics","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44387606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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