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: Wood, Simon Название: Generalized Additive Models: An Introduction with R ISBN: 1584884746 ISBN-13(EAN): 9781584884743 Издательство: Taylor&Francis Рейтинг: Цена: 10717.00 р. Наличие на складе: Поставка под заказ.
Описание: An Introduction to Generalized Additive Models with R provides readers with a thorough understanding of the theory and practical applications of GAMs to enable informed use of these very flexible tools and other advanced related models. The author's approach is based on a framework of penalized regression splines, and he provides a gentle introduction through motivating chapters on linear and generalized linear models. The author uses the freely available R software throughout to explain the underlying theory and illustrate the practicalities of linear, generalized linear, and generalized additive models. The text is accompanied by a supporting Web site that contains R code and the datasets used in the book.
Автор: Li Jin-Jin Название: Generalized Optomechanics and Its Applications ISBN: 9814417033 ISBN-13(EAN): 9789814417037 Издательство: World Scientific Publishing Рейтинг: Цена: 12830.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A mechanical oscillator coupled to the optical field in a cavity is a typical cavity optomechanical system. This book introduces the quantum optical properties of optomechanical system, such as linear and nonlinear effects.
Автор: Mcculloch, Charles E. Searle, Shayle R. Neuhaus, J Название: Generalized, linear, and mixed models ISBN: 0470073713 ISBN-13(EAN): 9780470073711 Издательство: Wiley Рейтинг: Цена: 25178.00 р. Наличие на складе: Поставка под заказ.
Описание: - This new edition presents a unified, accessible, and self-contained treatment of the latest statistical methods for analyzing correlated, non-normally distributed data. - The book`s unified treatment addresses the needs of applications-oriented users of statistical packages and also graduate students in statistics.
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