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Based on a course taught by the author, this book combines the theoretical underpinnings of statistics with the practical analysis of Earth;
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in the earth and atmospheric sciences. Containing contributions from over 100 leading academics, researchers, and practitioners in these fields;
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of attention due to demands from disciplines such as life sciences or machine learning, the availability of massive data sets requiring adapted;
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This best-selling introduction to statistical analysis in the social sciences provides the right balance of conceptual understanding and;
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sciences. Additionally, a special emphasis is placed upon the role of computational modeling in the social sciences.;
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decades, due to new demands from domains such as life sciences or machine learning, to the availability of massive data sets requiring adapted;
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, due to new demands from domains such as life sciences or machine learning, to the availability of massive data sets requiring adapted;
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sciences making use of computational techniques. The topics of the fully refereed papers are structured according to the five major conference;
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sciences making use of computational techniques. The topics of the fully refereed papers are structured according to the five major conference;
Vergelijkbare producten zoals Computational Science and Its Applications - ICCSA 2011
sciences making use of computational techniques. The topics of the fully refereed papers are structured according to the five major conference;
Vergelijkbare producten zoals Computational Science and Its Applications - ICCSA 2011
sciences making use of computational techniques. The topics of the fully refereed papers are structured according to the five major conference;
Vergelijkbare producten zoals Computational Science and Its Applications - ICCSA 2011
SAS, SPSS, and Excel programs? The new Third Edition of the best-selling Statistics for the Social Sciences is the solution to these dilemmas;
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Increases in computer power and technology have rapidly advanced the applications of numerical modelling in environmental and earth;
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Increases in computer power and technology have rapidly advanced the applications of numerical modelling in environmental and earth;
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The book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas;
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of statistics are used in the analysis of social science data, rather than on the mathematical and computational aspects. The book also emphasizes the;
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Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms;
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: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers;
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Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms;
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Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms;
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: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers;
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rather than the mathematics and computational details behind them. Statistical Methods for the Social Sciences, 4e presents an introduction to;
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With the rapidly advancing fields of Data Analytics and Computational Statistics, it's important to keep up with current trends;
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one in Mathematics and Statistics for Computational Sciences. The series includes selected PhD Theses of the School for a better diffusion;
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: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications;
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in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers;
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one in Mathematics and Statistics for Computational Sciences. The series includes selected PhD Theses of the School for a better diffusion;
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