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Technometrics

短名
Journal Impact	2.39
国际分区	STATISTICS & PROBABILITY(Q1)
期刊索引	SCI Q1中科院 3 区

ISSN	0040-1706, 1537-2723
h-index	90
国内分区	工程技术(3区)工程技术统计学与概率论(2区)

TECHNOMETRICS 是物理、化学和工程科学的统计期刊，由美国质量学会和美国统计协会每季出版。自 1959 年成立以来，TECHNOMETRICS 的使命一直是促进发展和在物理、化学和工程科学中使用统计方法。

期刊主页投稿网址

涉及主题	数学计算机科学统计经济计量经济学物理机器学习工程类人工智能
出版信息	出版商: Taylor and Francis Ltd.，出版周期: Quarterly，期刊类型: journal
基本数据	创刊年份: 1959，原创研究文献占比: 100.00%，自引率:8.70%， Gold OA占比: 11.76%
平均审稿周期	网友分享经验：>12周，或约稿
平均录用比例	网友分享经验：容易

期刊引文格式

这些示例是对学术期刊文章的引用，以及它们应该如何出现在您的参考文献中。

并非所有期刊都按卷和期组织其已发表的文章，因此这些字段是可选的。有些电子期刊不提供页面范围，而是列出文章标识符。在这种情况下，使用文章标识符而不是页面范围是安全的。

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专利引用格式

Bayesian sequential design of computer experiments for quantile set inversion

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Flexible Modeling of Nonstationary Extremal Dependence using Spatially-Fused LASSO and Ridge Penalties

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Scalable Methods for Multiple Time Series Comparison in Second Order Dynamics

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Linear Source Apportionment using Generalized Least Squares

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Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments

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Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples

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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.

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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.

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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.

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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.

2024-7-2

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.

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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.

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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.

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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.

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Multi-agent Collaborative Bayesian Optimization via Constrained Gaussian Processes

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Drift vs Shift: Decoupling Trends and Changepoint Analysis

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Convolutional Non-Homogeneous Poisson Process and its Application to Wildfire Ignition Risk Quantification for Power Delivery Networks

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Screening designs for continuous and categorical factors

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Data-driven Pathwise Sampling Approaches for Online Anomaly Detection

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Building Trees for Probabilistic Prediction via Scoring Rules

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Detection of Emergent Anomalous Structure in Functional Data

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Kernel-based Sensitivity Analysis for (Excursion) Sets

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Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional Data

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Sequential Data Integration Under Dataset Shift

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On tracking varying bounds when forecasting bounded time series

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Augmenting a Simulation Campaign for Hybrid Computer Model and Field Data Experiments

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Robust Multivariate Functional Control Chart

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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

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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

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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

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Foundations of Statistical Mechanics Foundations of Statistical Mechanics Roman Frigg and Charlotte Werndl, UK: Cambridge University Press, 2024, 84 pp., $22.00, ISBN 9781009016490

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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

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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

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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)

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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

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Image Comparison Based On Local Pixel Clustering

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Constrained Bayesian Optimization with Lower Confidence Bound

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Gaussian Process Emulation for High-Dimensional Coupled Systems

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Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data Under Data-Sharing Constraints

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Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data

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Deep Latent Factor Model for Spatio-Temporal Forecasting

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Transfer Learning with Large-Scale Quantile Regression

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Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice

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Bayesian Optimization via Exact Penalty

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Moving Sum Procedure for Change Point Detection under Piecewise Linearity

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An Adaptive Sampling Strategy for Real-Time Anomaly Detection with Unmanned Sensing Vehicles

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Mesh-clustered Gaussian process emulator for partial differential equation boundary value problems

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Screening the Discrepancy Function of a Computer Model

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Assessing Measurement System Agreement in the Presence of Reproducibility and Repeatability

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Technometrics

期刊引文格式

只有1位作者的期刊

有2位作者的期刊

有3位作者的期刊

有5位以上作者的期刊

书籍引用格式

学位论文引用格式

网页引用格式

专利引用格式

最新文章

Bayesian sequential design of computer experiments for quantile set inversion

Flexible Modeling of Nonstationary Extremal Dependence using Spatially-Fused LASSO and Ridge Penalties

Scalable Methods for Multiple Time Series Comparison in Second Order Dynamics

Linear Source Apportionment using Generalized Least Squares

Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments

Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples

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 &amp; Francis Group, Chapman and Hall, 2024, xvii + 339 pp., $ 79.95 (pbk), ISBN 978-1-032-50754-5.

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.

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.

Molecular Networking Statistical Mechanics in the Age of AI and Machine Learning <b>Molecular Networking Statistical Mechanics in the Age of AI and Machine Learning</b> , Edited by Caroline Desgranges and Jerome Delhommelle, Boca Raton, CRC Press, 2024, 248 pp., £ 110.00, ISBN 9780367438937.

Multi-agent Collaborative Bayesian Optimization via Constrained Gaussian Processes

Drift vs Shift: Decoupling Trends and Changepoint Analysis

Convolutional Non-Homogeneous Poisson Process and its Application to Wildfire Ignition Risk Quantification for Power Delivery Networks

Screening designs for continuous and categorical factors

Data-driven Pathwise Sampling Approaches for Online Anomaly Detection

Building Trees for Probabilistic Prediction via Scoring Rules

Detection of Emergent Anomalous Structure in Functional Data

Kernel-based Sensitivity Analysis for (Excursion) Sets

Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional Data

Sequential Data Integration Under Dataset Shift

On tracking varying bounds when forecasting bounded time series

Augmenting a Simulation Campaign for Hybrid Computer Model and Field Data Experiments

Robust Multivariate Functional Control Chart

Statistical Methods in Health Disparity Research <b>Statistical Methods in Health Disparity Research</b> Edited by J. Sunil Rao, Boca Raton, CRC Press, 2023, 298 pp., £120.00, ISBN 9780367635121

Foundations of Statistical Mechanics <b>Foundations of Statistical Mechanics</b> Roman Frigg and Charlotte Werndl, UK: Cambridge University Press, 2024, 84 pp., $22.00, ISBN 9781009016490

Hands-On Data Science for Librarians <b>Hands-On Data Science for Librarians</b> Sarah Lin and Dorris Scott, Boca Raton, FL: CRC Press, 2023, 200 pp., $69.95, ISBN: 9781003218012

Data Analytics for Process Engineers; Prediction, Control, and Optimization <b>Data Analytics for Process Engineers; Prediction, Control, and Optimization</b> Daniela Galatro and Stephen Dawe, Cham: Springer, 2024, 145 pp., €32.09 (eBook), ISBN: 978-3-031-46866-7

Essential Mathematics for Engineers and Scientists <b>Essential Mathematics for Engineers and Scientists</b> 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)

Mathematical Modeling and Soft Computing in Epidemiology <b>Mathematical Modeling and Soft Computing in Epidemiology</b> , Edited by Jyoti Mishra, Ritu Agarwal, and Abdon Atangana, 1st ed., Boca Raton, FL: CRC Press, 2021, 440 pp., £120.00 (hbk), ISBN 9780367903053

Image Comparison Based On Local Pixel Clustering

Constrained Bayesian Optimization with Lower Confidence Bound

Gaussian Process Emulation for High-Dimensional Coupled Systems

Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data Under Data-Sharing Constraints

Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data

Deep Latent Factor Model for Spatio-Temporal Forecasting

Transfer Learning with Large-Scale Quantile Regression

Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice

Bayesian Optimization via Exact Penalty

Moving Sum Procedure for Change Point Detection under Piecewise Linearity

An Adaptive Sampling Strategy for Real-Time Anomaly Detection with Unmanned Sensing Vehicles

Mesh-clustered Gaussian process emulator for partial differential equation boundary value problems

Screening the Discrepancy Function of a Computer Model

Discrepancy measures for global sensitivity analysis

Assessing Measurement System Agreement in the Presence of Reproducibility and Repeatability

帮你贴心管理全部的文献.css-5myebc{font-size:14px;font-weight:var(--chakra-fontWeights-normal);margin-top:var(--chakra-space-1);margin-bottom:var(--chakra-space-1);}研飞ivySCI，高效的论文管理

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.

帮你贴心管理全部的文献
研飞ivySCI，高效的论文管理