Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Overview
| Works: | 45 works in 12 publications in 12 languages | |
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Titles
Advanced statistical methods in process monitoring, finance, and environmental science = essays in honour of Wolfgang Schmid /
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Computational statistics and data intelligence = APCAMS 2023, Chongqing, China, June 24-26 /
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Theory and applications of time series analysis = selected contributions from ITISE 2022 /
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Statistical modeling using Bayesian latent Gaussian models = with applications in geophysics and environmental sciences /
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Applied data analysis and modeling for energy engineers and scientists
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Optimal experimental design = a concise introduction for researchers /
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Data driven model learning for engineers = with applications to univariate time series /
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Fundamental and applied sciences in Asia = International Conference on Science Technology and Social Sciences (ICSTSS 2018) /
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China Seismic Experimental Site = Theoretical Framework and Ongoing Practice /
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Reliability and Statistics in Transportation and Communication = Selected Papers from the 21st International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication, RelStat2021, 14-15 October 2021, Riga, Latvia /
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Computation of Greeks Using the Discrete Malliavin Calculus and Binomial Tree
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Applied Statistical Methods = ISGES 2020, Pune, India, January 2–4 /
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An Introduction to Latent Class Analysis = Methods and Applications /
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Statistics for Chemical and Process Engineers = A Modern Approach /
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Uncertainty in Engineering = Introduction to Methods and Applications /
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Metrics That Make a Difference = How to Analyze Change and Error /
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Minimum Divergence Methods in Statistical Machine Learning = From an Information Geometric Viewpoint /
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Eco-Stats: Data Analysis in Ecology = From t-tests to Multivariate Abundances /
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Statistical Reliability Engineering = Methods, Models and Applications /
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Ereignisrisiko = Statistische Verfahren und Konzepte zur Risikoquantifizierung /
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Regularized System Identification = Learning Dynamic Models from Data /
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Kontinuierliche Messgrößen und Stichprobenstrategien in Raum und Zeit = mit Anwendungen in den Natur-, Umwelt-, Wirtschafts- und Finanzwissenschaften /
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Artificial Intelligence, Big Data and Data Science in Statistics = Challenges and Solutions in Environmetrics, the Natural Sciences and Technology /
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Technische Zuverlässigkeit = Datenanalytik, Modellierung, Risikoprognose /
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Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches
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Regional Failure Events in Communication Networks = Models, Algorithms and Applications /
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