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Random Regret-based Discrete Choice Modeling

Part of the SpringerBriefs in Business Book Series

DOI: 10.1007/978-3-642-29151-7

ISBN: 978-3-642-29150-0

Publisher: Springer Berlin Heidelberg - Springer Journals

Apr 5, 2012

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Chapter 1Introduction

Chorus, Caspar G.

Pages: 1 –4
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Chapter 2A Random Regret Minimization-based Discrete Choice Model

Chorus, Caspar G.

Pages: 5 –15

[This Chapter presents the RRM-model. First, the Random Regret-function is presented and explained (Sect. 2.1). Subsequently, this function is compared with the classical linear-additive Random Utility-function (Sect. 2.2). Finally, it is shown how the Random Regret-function translates into...
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Chapter 3Empirical Application of Random Regret Minimization-Models

Chorus, Caspar G.

Pages: 17 –34

[This chapter presents an in-depth discussion of how the RRM-based MNL-model is estimated, and how estimation results are interpreted and used for forecasting. This is done by means of a comprehensive discussion of one running example. Section 3.1 presents the dataset used for empirical analyses,...
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Chapter 4Applicability of Random Regret Minimization-Models, and Their Strong and Weak Points

Chorus, Caspar G.

Pages: 35 –41

[This chapter starts (Sect. 4.1) with discussing the applicability of the RRM-model in other than the quite straightforward choice context presented in Chap. 3. More specifically, it is explained how RRM can be applied to model non-generic attributes, constants, non-continuous attributes, and...
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Chapter 5Selection of Recent Developments in RRM-Modeling

Chorus, Caspar G.

Pages: 43 –52

[Very recently, a number of developments have taken place that have further broadened the scope of the Random Regret Minimization approach to discrete choice modeling. This chapter provides brief introductions to some of these developments, without aiming to be complete with respect to the number...

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