Advances in Complex Data Modeling and Computational Methods in Statistics, Anna Maria Paganoni; Piercesare Secchi
Автор: Richard A. Johnson, Gouri K. Bhattacharyya Название: Statistics: Principles and Methods, 7th Edition ISBN: 0470904119 ISBN-13(EAN): 9780470904114 Издательство: Wiley Рейтинг: Цена: 35369.00 р. Наличие на складе: Поставка под заказ.
Описание: Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods.
Автор: Lewis Название: Complex Survey Data Analysis with SAS ISBN: 1498776779 ISBN-13(EAN): 9781498776776 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Complex Survey Data Analysis with SAS (R) is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of stratification, clustering, unequal weights, or finite population correction factors.
Автор: Alfio Quarteroni; Gianluigi Rozza Название: Reduced Order Methods for Modeling and Computational Reduction ISBN: 3319020897 ISBN-13(EAN): 9783319020891 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book details advances and developments in reduced order methods for modeling and computational reduction of complex parametrized systems held by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques.
Автор: Matteo Grigoletto; Francesco Lisi; Sonia Petrone Название: Complex Models and Computational Methods in Statistics ISBN: 8847055652 ISBN-13(EAN): 9788847055650 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume details statistical methods for high-dimensional problems. It includes a wide range of statistical applications.
Автор: Matteo Grigoletto; Francesco Lisi; Sonia Petrone Название: Complex Models and Computational Methods in Statistics ISBN: 8847028701 ISBN-13(EAN): 9788847028708 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume details statistical methods for high-dimensional problems. It includes a wide range of statistical applications.
Автор: Roderick Melnik; Ilias S. Kotsireas Название: Advances in Applied Mathematics, Modeling, and Computational Science ISBN: 1489989870 ISBN-13(EAN): 9781489989871 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The volume presents a selection of in-depth studies and state-of-the-art surveys of several challenging topics that are at the forefront of modern applied mathematics, mathematical modeling, and computational science.
Автор: Minrui Fei; Shiwei Ma; Xin Li; Xin Sun; Li Jia; Zh Название: Advanced Computational Methods in Life System Modeling and Simulation ISBN: 9811063699 ISBN-13(EAN): 9789811063695 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017.
Автор: Alfio Quarteroni; Gianluigi Rozza Название: Reduced Order Methods for Modeling and Computational Reduction ISBN: 3319377353 ISBN-13(EAN): 9783319377353 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book details advances and developments in reduced order methods for modeling and computational reduction of complex parametrized systems held by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques.
Автор: Haber Название: Computational Methods in Geophysical Electromagnetics ISBN: 1611973791 ISBN-13(EAN): 9781611973792 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 10395.00 р. Наличие на складе: Нет в наличии.
Описание: Bridging the gap between theory and applications, this monograph provides a framework for the solution of electromagnetic imaging problems in geophysics. It provides a simple explanation of finite volume discretization; a full description of the basic concepts for solving inverse problems through optimization; a summary of applied electromagnetics methods; and MATLAB® code for efficient computation. The book will appeal to students and practitioners interested in computational science, data fitting, and applications to electromagnetics.
Описание: Part I: Stochastic Chemical Reactions.- Test Models for Statistical Inference: Two-Dimensional Reaction Systems Displaying Limit Cycle Bifurcations and Bistability.- Importance Sampling for Metastable and Multiscale Dynamical Systems.- Multiscale Simulation of Stochastic Reaction-diffusion Networks.- Part II: Stochastic Numerical Approaches, Algorithms and Coarse-Grained Simulations.- Numerical Methods for Ergodic SDEs: When Stochastic Integration Meets Geometric Integration.-Stability and Strong Convergence for Spatial Stochastic Kinetics.- The T cells in an Ageing Virtual Mouse.- Part III: Analysis of Stochastic Dynamical Systems for Modeling Cell Biology.- Model reduction for Stochastic Reaction Systems.- ZI-closure Scheme: A Method to Solve and Study Stochastic Reaction Networks.- Deterministic and Stochastic Becker-Dцring Equations: Past and Recent Mathematical Developments.- Coagulation-Fragmentation with a Finite Number of Particles: Models, Stochastic Analysis and Applications to Telomere Clustering and Viral Capsid Assembly.- A Review of Stochastic and Delay Simulation Approaches in both Time and Space in Computational Cell Biology.- Part IV: Diffusion Processes and Stochastic Modeling.- Recent Mathematical Models of Axonal Transport.- Stochastic Models for Evolving Cellular Populations of Mitochondria: Disease, Development, and Ageing.- Modeling and Stochastic Analysis of the Single Photon Response.- A Phenomenological Spatial Model for Macro-ecological Patterns in Species-rich Ecosystems.
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