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Titlebook: Discrete Choice Analysis with R; Antonio Páez,Geneviève Boisjoly Textbook 2022 The Editor(s) (if applicable) and The Author(s), under excl

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發(fā)表于 2025-3-21 17:52:35 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Discrete Choice Analysis with R
編輯Antonio Páez,Geneviève Boisjoly
視頻videohttp://file.papertrans.cn/282/281081/281081.mp4
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
叢書名稱Use R!
圖書封面Titlebook: Discrete Choice Analysis with R;  Antonio Páez,Geneviève Boisjoly Textbook 2022 The Editor(s) (if applicable) and The Author(s), under excl
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
關(guān)鍵詞Discrete Choice Analysis; R; Data Visualization; Random Utility Modeling; Examples
版次1
doihttps://doi.org/10.1007/978-3-031-20719-8
isbn_softcover978-3-031-20721-1
isbn_ebook978-3-031-20719-8Series ISSN 2197-5736 Series E-ISSN 2197-5744
issn_series 2197-5736
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Textbook 2022rete 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 pl
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https://doi.org/10.1057/9780230613188sues that emerge when a multinomial logit model is not fully specified. If there are hidden correlations, the proportional substitution patterns that result from the Independence from Irrelevant Alternatives property may be inappropriate.
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Hans-Werner-Wahl,Anna E. Kornadtpture, the raw materials can be marble, wood, or clay; the tools chisels, mallet, and spatula; and the technique the mastery of the sculptor when working with the tools and the materials. Anyone can try sculpture, and most people can create sculptures.
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Marília dos Santos Bezerra,Maristela Rossatoives did not follow a natural order or a logical sequence: a gas central system is not “higher” or “greater” than an electric room system. Similarly, car is not “higher” or “greater” than walking or public transport. This is what we call unordered choices.
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