Generalized Additive Models: An Introduction with R, Wood, Simon
Новое издание
Автор: Wood, Simon N. Название: Generalized additive models ISBN: 1498728332 ISBN-13(EAN): 9781498728331 Издательство: Taylor&Francis Цена: 12554.00 р. Наличие на складе: Есть у поставщикаПоставка под заказ.
Описание: Offers a cohesive framework for statistical modeling. Emphasizing numerical and graphical methods, this work enables readers to understand the unifying structure that underpins GLMs. It discusses common concepts and principles of advanced GLMs, including nominal and ordinal regression, survival analysis, and longitudinal analysis.
Автор: Alan Agresti Название: Foundations of Linear and Generalized Linear Models ISBN: 1118730038 ISBN-13(EAN): 9781118730034 Издательство: Wiley Рейтинг: Цена: 16782.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models.
Автор: Breit, Dominic Название: Existence Theory for Generalized Newtonian Fluids ISBN: 0128110449 ISBN-13(EAN): 9780128110447 Издательство: Elsevier Science Рейтинг: Цена: 14654.00 р. Наличие на складе: Поставка под заказ.
Описание:
Existence Theory for Generalized Newtonian Fluids provides a rigorous mathematical treatment of the existence of weak solutions to generalized Navier-Stokes equations modeling Non-Newtonian fluid flows. The book presents classical results, developments over the last 50 years of research, and recent results with proofs.
Provides the state-of-the-art of the mathematical theory of Generalized Newtonian fluids
Combines elliptic, parabolic and stochastic problems within existence theory under one umbrella
Focuses on the construction of the solenoidal Lipschitz truncation, thus enabling readers to apply it to mathematical research
Approaches stochastic PDEs with a perspective uniquely suitable for analysis, providing an introduction to Galerkin method for SPDEs and tools for compactness
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