| 书目名称 | Discrete Choice Analysis with R | | 编辑 | Antonio Páez,Geneviève Boisjoly | | 视频video | | | 概述 | Introduces the fascinating field of discrete choice analysis in a gentle and intuitive way.Examples coded in the R statistical language contribute to enhancing understanding of the concepts and implem | | 丛书名称 | Use R! | | 图书封面 |  | | 描述 | This book is designed as a gentle introduction to the fascinating field of choice modeling and its practical implementation using the R language. Discrete choice analysis is a family of methods useful to study individual decision-making. With strong theoretical foundations in consumer behavior, discrete choice models are used in the analysis of health policy, transportation systems, marketing, economics, public policy, political science, urban planning, and criminology, to mention just a few fields of application. The book does not assume prior knowledge of discrete choice analysis or R, but instead strives to introduce both in an intuitive way, starting from simple concepts and progressing to more sophisticated ideas. Loaded with a wealth of examples and code, the book covers the fundamentals of data and analysis in a progressive way. Readers begin with simple data operations and the underlying theory of choice analysis and conclude by working with sophisticated models including latent class logit models, mixed logit models, and ordinal logit models with taste heterogeneity. Data visualization is emphasized to explore both the input data as well as the results of models. This book | | 出版日期 | Textbook 2022 | | 关键词 | Discrete Choice Analysis; R; Data Visualization; Random Utility Modeling; Examples | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-20719-8 | | isbn_softcover | 978-3-031-20721-1 | | isbn_ebook | 978-3-031-20719-8Series ISSN 2197-5736 Series E-ISSN 2197-5744 | | issn_series | 2197-5736 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 17:52:35
