Описание: Provides a critique of genetic determinism and reductionism within science while exploring a range of issues including the nature of science, biology, evolution, the environment, public health, and dialectics. This work brings together the essays of two prominent scientists who work to empower the public`s understanding of science and nature.
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: Lee, Youngjo Ronnegard, Lars Noh, Maengseok Название: Data analysis using hierarchical generalized linear models with r ISBN: 0367657929 ISBN-13(EAN): 9780367657925 Издательство: Taylor&Francis Рейтинг: Цена: 7808.00 р. Наличие на складе: Нет в наличии.
Описание: Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. Interest in the topic has grown, and various practical analytical tools have been developed. This book summarizes developments within the field and, using data examples, illustrates how to
Автор: Russell Kenneth G. Название: Design of Experiments for Generalized Linear Models ISBN: 1032094052 ISBN-13(EAN): 9781032094052 Издательство: Taylor&Francis Рейтинг: Цена: 6889.00 р. 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: McCullagh, P. Название: Generalized Linear Models ISBN: 0412317605 ISBN-13(EAN): 9780412317606 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Dey, Dipak K. Название: Generalized Linear Models ISBN: 0824790340 ISBN-13(EAN): 9780824790349 Издательство: Taylor&Francis Рейтинг: Цена: 21437.00 р. Наличие на складе: Нет в наличии.
Автор: Madsen, Henrik Название: Introduction to General and Generalized Linear Models ISBN: 1420091557 ISBN-13(EAN): 9781420091557 Издательство: Taylor&Francis Рейтинг: Цена: 11329.00 р. Наличие на складе: Нет в наличии.
Название: Count Time Series ISBN: 1482248050 ISBN-13(EAN): 9781482248050 Издательство: Taylor&Francis Рейтинг: Цена: 11789.00 р. Наличие на складе: Нет в наличии.
Название: Generalized Linear Models with Random Effects ISBN: 1498720617 ISBN-13(EAN): 9781498720618 Издательство: Taylor&Francis Рейтинг: Цена: 19140.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This open access book offers an introduction to mixed generalized linear models with applications to the biological sciences, basically approached from an applications perspective, without neglecting the rigor of the theory. For this reason, the theory that supports each of the studied methods is addressed and later - through examples - its application is illustrated. In addition, some of the assumptions and shortcomings of linear statistical models in general are also discussed. An alternative to analyse non-normal distributed response variables is the use of generalized linear models (GLM) to describe the response data with an exponential family distribution that perfectly fits the real response. Extending this idea to models with random effects allows the use of Generalized Linear Mixed Models (GLMMs). The use of these complex models was not computationally feasible until the recent past, when computational advances and improvements to statistical analysis programs allowed users to easily, quickly, and accurately apply GLMM to data sets. GLMMs have attracted considerable attention in recent years. The word "Generalized" refers to non-normal distributions for the response variable and the word "Mixed" refers to random effects, in addition to the fixed effects typical of analysis of variance (or regression). With the development of modern statistical packages such as Statistical Analysis System (SAS), R, ASReml, among others, a wide variety of statistical analyzes are available to a wider audience. However, to be able to handle and master more sophisticated models requires proper training and great responsibility on the part of the practitioner to understand how these advanced tools work. GMLM is an analysis methodology used in agriculture and biology that can accommodate complex correlation structures and types of response variables.
Описание: This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models. Furthermore, it includes recently developed methods, such as mixed model diagnostics, mixed model selection, and jackknife method in the context of mixed models.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
