Автор: Dirk P. Kroese; Joshua C.C. Chan Название: Statistical Modeling and Computation ISBN: 149395332X ISBN-13(EAN): 9781493953325 Издательство: Springer Рейтинг: Цена: 13973.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an introduction to modern statistics. It also offers an integrated treatment of mathematical statistics and statistical computation, emphasizing statistical modeling, computational techniques, and applications.
Автор: Guerrero, Hector Название: Excel data analysis ISBN: 3030012786 ISBN-13(EAN): 9783030012786 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a comprehensive and readable introduction to modern business and data analytics.
Автор: Kroese Dirk P Название: Statistical Modeling and Computation ISBN: 1461487749 ISBN-13(EAN): 9781461487746 Издательство: Springer Рейтинг: Цена: 35173.00 р. Наличие на складе: Нет в наличии.
Описание: This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. In Part III, the authors address the statistical analysis and computation of various advanced models, such as generalized linear, state-space and Gaussian models.
Автор: Ding-Geng Chen, Yiu-Fai Yung Название: Structural Equation Modeling Using R/SAS ISBN: 1032431237 ISBN-13(EAN): 9781032431239 Издательство: Taylor&Francis Рейтинг: Цена: 14086.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The primary goal behind this book is offering the flexibility for instructors to build most undergraduate courses upon it. This book is designed for either a one-semester course in either introductory probability and statistics (not calculus-based) and/or a one-semester course in a calculus-based probability and statistics course.
Автор: Dubravko Justic, Kenneth A. Rose, Robert Название: Modeling coastal hypoxia. ISBN: 3319545698 ISBN-13(EAN): 9783319545691 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Modeling is necessary because of rapidly changing coastal circulation and stratification patterns that affect hypoxia, the large spatial extent over which hypoxia develops, and limitations on our capabilities to directly measure hypoxia over large spatial and temporal scales.
Автор: Anders Lindquist; Giorgio Picci Название: Linear Stochastic Systems ISBN: 3662526182 ISBN-13(EAN): 9783662526187 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a treatise on the theory and modeling of second-order stationary processes, including an exposition on selected application areas that are important in the engineering and applied sciences.
Описание: This advanced textbook offers a user friendly and systematic introduction to mathematical models in speech and hearing sciences. It features step-by-step analysis of models and computational methods from numerical analysis, signal processing and statistics.
Автор: Carl Chiarella; Xue-Zhong He; Christina Sklibosios Название: Derivative Security Pricing ISBN: 3662516314 ISBN-13(EAN): 9783662516317 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book presents applications of stochastic calculus to derivative security pricing and interest rate modelling.
Автор: Ronald Gieschke; Daniel Serafin Название: Development of Innovative Drugs via Modeling with MATLAB ISBN: 3662521105 ISBN-13(EAN): 9783662521106 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The development of innovative drugs is becoming more difficult while relying on empirical approaches. This inspired all major pharmaceutical companies to pursue alternative model-based paradigms. The key question is: How to find innovative compounds and, subsequently, appropriate dosage regimens? Written from the industry perspective and based on many years of experience, this book offers: - Concepts for creation of drug-disease models, introduced and supplemented with extensive MATLAB programs - Guidance for exploration and modification of these programs to enhance the understanding of key principles - Usage of differential equations to pharmacokinetic, pharmacodynamic and (patho-) physiologic problems thereby acknowledging their dynamic nature - A range of topics from single exponential decay to adaptive dosing, from single subject exploration to clinical trial simulation, and from empirical to mechanistic disease modeling. Students with an undergraduate mathematical background or equivalent education, interest in life sciences and skills in a high-level programming language such as MATLAB, are encouraged to engage in model-based pharmaceutical research and development.
Автор: Mieczyslaw Pokorski Название: Environment Exposure to Pollutants ISBN: 3319363689 ISBN-13(EAN): 9783319363684 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The impairment of lung function caused by environmental exposure to pollutants and toxicants is a rising health problem, particularly in highly industrialized parts of the world.
Описание: This book enables readers to understand, model, and predict complex dynamical systems using new methods with stochastic tools. The author presents a unique combination of qualitative and quantitative modeling skills, novel efficient computational methods, rigorous mathematical theory, as well as physical intuitions and thinking. An emphasis is placed on the balance between computational efficiency and modeling accuracy, providing readers with ideas to build useful models in practice. Successful modeling of complex systems requires a comprehensive use of qualitative and quantitative modeling approaches, novel efficient computational methods, physical intuitions and thinking, as well as rigorous mathematical theories. As such, mathematical tools for understanding, modeling, and predicting complex dynamical systems using various suitable stochastic tools are presented. Both theoretical and numerical approaches are included, allowing readers to choose suitable methods in different practical situations. The author provides practical examples and motivations when introducing various mathematical and stochastic tools and merges mathematics, statistics, information theory, computational science, and data science. In addition, the author discusses how to choose and apply suitable mathematical tools to several disciplines including pure and applied mathematics, physics, engineering, neural science, material science, climate and atmosphere, ocean science, and many others. Readers will not only learn detailed techniques for stochastic modeling and prediction, but will develop their intuition as well. Important topics in modeling and prediction including extreme events, high-dimensional systems, and multiscale features are discussed.
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