Автор: Hall, Alastair R. Название: Generalized Method of Moments ISBN: 0198775202 ISBN-13(EAN): 9780198775201 Издательство: Oxford Academ Рейтинг: Цена: 81310.00 T Наличие на складе: Невозможна поставка. Описание: This book has become one of the main statistical tools for the analysis of economic and financial data. Designed for both theoreticians and practitioners, this book provides a comprehensive treatment of GMM estimation and inference. All the main statistical results are discussed intuitively and proved formally, and all the inference techniques are illustrated using empirical examples in macroeconomics and finance. This book is the first to provide an intuitive introduction to the method combined with a unified treatment of GMM statistical theory and a survey of recent important developments in the field. About the Series Advanced Texts in Econometrics is a distinguished and rapidly expanding series in which leading econometricians assess recent developments in such areas as stochastic probability, panel and time series data analysis, modeling, and cointegration. In both hardback and affordable paperback, each volume explains the nature and applicability of a topic in greater depth than possible in introductory textbooks or single journal articles. Each definitive work is formatted to be as accessible and convenient for those who are not familiar with the detailed primary literature.
Название: An Introduction to Generalized Linear Models, Third Edition ISBN: 1584889500 ISBN-13(EAN): 9781584889502 Издательство: Taylor&Francis Рейтинг: Цена: 47970.00 T Наличие на складе: Нет в наличии. 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: Li Jin-Jin Название: Generalized Optomechanics and Its Applications ISBN: 9814417033 ISBN-13(EAN): 9789814417037 Издательство: World Scientific Publishing Рейтинг: Цена: 85530.00 T 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: Fox John Название: Applied Regression Analysis and Generalized Linear Models ISBN: 1452205663 ISBN-13(EAN): 9781452205663 Издательство: Sage Publications Рейтинг: Цена: 166850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the most useful and widely used statistical tools for social research.
Автор: Russell Название: Design of Experiments for Generalized Linear Models ISBN: 1498773133 ISBN-13(EAN): 9781498773133 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is the first book focusing specifically on the design of experiments for GLMs. Much of the research literature on this topic is at a high mathematical level, and without any information on computation.
Автор: Wood, Simon Название: Generalized Additive Models: An Introduction with R ISBN: 1584884746 ISBN-13(EAN): 9781584884743 Издательство: Taylor&Francis Рейтинг: Цена: 71450.00 T Наличие на складе: Нет в наличии. 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.
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