Name: Introduction to General and Generalized Linear Models (Chapman & Hall (en Inglés)
SKU: 63065878
Price: 56.11 USD
Availability: InStock
Author: Henrik Madsen; Poul Thyregod

portada Introduction to General and Generalized Linear Models (Chapman & Hall (en Inglés)

Introduction to General and Generalized Linear Models (Chapman & Hall (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Henrik Madsen; Poul Thyregod

Idioma

Inglés

N° páginas

316

Encuadernación

Tapa Blanda

ISBN13

9781032922362

N° edición

Introduction to General and Generalized Linear Models (Chapman & Hall (en Inglés)

Henrik Madsen; Poul Thyregod (Autor) · Crc Press · Tapa Blanda

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Reseña del libro "Introduction to General and Generalized Linear Models (Chapman & Hall (en Inglés)"

Bridging the gap between theory and practice for modern statistical model building, Introduction to General and Generalized Linear Models presents likelihood-based techniques for statistical modelling using various types of data. Implementations using R are provided throughout the text, although other software packages are also discussed. Numerous examples show how the problems are solved with R.After describing the necessary likelihood theory, the book covers both general and generalized linear models using the same likelihood-based methods. It presents the corresponding/parallel results for the general linear models first, since they are easier to understand and often more well known. The authors then explore random effects and mixed effects in a Gaussian context. They also introduce non-Gaussian hierarchical models that are members of the exponential family of distributions. Each chapter contains examples and guidelines for solving the problems via R. Providing a flexible framework for data analysis and model building, this text focuses on the statistical methods and models that can help predict the expected value of an outcome, dependent, or response variable. It offers a sound introduction to general and generalized linear models using the popular and powerful likelihood techniques. Ancillary materials are available at www.imm.dtu.dk/ hm/GLM