Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Overview
            | Works: | 56 works in 23 publications in 23 languages | |
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Titles
          
                  
                    The probabilistic vision of the physical world = a point of view of earth sciences /
                  
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                    Regional Failure Events in Communication Networks  = Models, Algorithms and Applications /
                  
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                        Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches  
                      
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                        Technische Zuverlässigkeit = Datenanalytik, Modellierung, Risikoprognose  /
                      
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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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                        Kontinuierliche Messgrößen und Stichprobenstrategien in Raum und Zeit = mit Anwendungen in den Natur-, Umwelt-, Wirtschafts- und Finanzwissenschaften /
                      
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                        Regularized System Identification = Learning Dynamic Models from Data /
                      
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                        Ereignisrisiko = Statistische Verfahren und Konzepte zur Risikoquantifizierung /
                      
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                        Statistical Reliability Engineering = Methods, Models and Applications /
                      
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                        Eco-Stats: Data Analysis in Ecology = From t-tests to Multivariate Abundances /
                      
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                        Minimum Divergence Methods in Statistical Machine Learning = From an Information Geometric Viewpoint /
                      
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                        Metrics That Make a Difference = How to Analyze Change and Error /
                      
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                        Uncertainty in Engineering = Introduction to Methods and Applications /
                      
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                        Statistics for Chemical and Process Engineers = A Modern Approach /
                      
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                        An Introduction to Latent Class Analysis = Methods and Applications /
                      
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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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                        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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                        China Seismic Experimental Site  = Theoretical Framework and Ongoing Practice /
                      
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                        Fundamental and applied sciences in Asia = International Conference on Science Technology and Social Sciences (ICSTSS 2018) /
                      
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                        Data driven model learning for engineers = with applications to univariate time series /
                      
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                        Optimal experimental design = a concise introduction for researchers /
                      
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                        Applied data analysis and modeling for energy engineers and scientists
                      
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                        Statistical modeling using Bayesian latent Gaussian models = with applications in geophysics and environmental sciences /
                      
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                        Theory and applications of time series analysis = selected contributions from ITISE 2022 /
                      
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                        Computational statistics and data intelligence = APCAMS 2023, Chongqing, China, June 24-26 /
                      
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                        Advanced statistical methods in process monitoring, finance, and environmental science = essays in honour of Wolfgang Schmid /
                      
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                        Sharp inequalities for ordered random variables in statistics and reliability.. Volume I,. Standard order statistics
                      
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                        Probability and statistical models in operations research, computer and management sciences = including applications to reliability models /
                      
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                        Functional data analysis in biomechanics = a concise review of core techniques, applications and emerging areas /
                      
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