Applied Choice Analysis
Applied Choice Analysis
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DOI：
10.1017/cbo9781316136232.012
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发表时间：
2015-08
期刊：
影响因子：
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通讯作者：
D. Hensher;J. Rose;W. Greene
中科院分区：
文献类型：
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作者：
D. Hensher;J. Rose;W. Greene
这本受欢迎的书的第二版为学生提供了最新的选择分析方法和技术。它全面而易于访问，为任何有兴趣了解如何建模和预测个人和团体所做选择范围的人提供了独特的介绍。除了几个章节的完全重写，新的主题包括有序选择，缩放MNL，广义混合logit，潜在类模型，群体决策，物流和属性处理策略，预期效用理论，和前景理论应用。许多额外的案例研究用于说明选择分析的应用程序，为所有Nlogit应用程序和在线数据集提供了广泛的命令语法。凭借其独特的理论，估计和应用的融合，这本书对所有对选择建模方法感兴趣的人具有广泛的吸引力，并将成为学生以及研究人员，专业人士和顾问的宝贵资源。
The second edition of this popular book brings students fully up to date with the latest methods and techniques in choice analysis. Comprehensive yet accessible, it offers a unique introduction to anyone interested in understanding how to model and forecast the range of choices made by individuals and groups. In addition to a complete rewrite of several chapters, new topics covered include ordered choice, scaled MNL, generalized mixed logit, latent class models, group decision making, heuristics and attribute processing strategies, expected utility theory, and prospect theoretic applications. Many additional case studies are used to illustrate the applications of choice analysis with extensive command syntax provided for all Nlogit applications and datasets available online. With its unique blend of theory, estimation, and application, this book has broad appeal to all those interested in choice modeling methods and will be a valuable resource for students as well as researchers, professionals, and consultants.