| 书目名称 | Generalized Linear Mixed Models with Applications in Agriculture and Biology |
| 编辑 | Josafhat Salinas Ruíz,Osval Antonio Montesinos Lóp |
| 视频video | |
| 概述 | Generalized Linear Models are an alternative statistical solution to no normal distribution of response variables.In agriculture and biology several responses variable are no continuous and no normall |
| 图书封面 |  |
| 描述 | .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 varia |
| 出版日期 | Book‘‘‘‘‘‘‘‘ 2023 |
| 关键词 | Generalized Linear Mixed Models; non normal distribution; GLM; GLMM; Model Inference; non normal response |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-32800-8 |
| isbn_softcover | 978-3-031-32802-2 |
| isbn_ebook | 978-3-031-32800-8 |
| copyright | The Editor(s) (if applicable) and The Author(s) 2023 |
发表于 2025-3-21 17:16:06
