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Practical Data Analysis Cookbook

You're reading from   Practical Data Analysis Cookbook Over 60 practical recipes on data exploration and analysis

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Product type Paperback
Published in Apr 2016
Publisher
ISBN-13 9781783551668
Length 384 pages
Edition 1st Edition
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Author (1):
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Tomasz Drabas Tomasz Drabas
Author Profile Icon Tomasz Drabas
Tomasz Drabas
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Toc

Table of Contents (13) Chapters Close

Preface 1. Preparing the Data FREE CHAPTER 2. Exploring the Data 3. Classification Techniques 4. Clustering Techniques 5. Reducing Dimensions 6. Regression Methods 7. Time Series Techniques 8. Graphs 9. Natural Language Processing 10. Discrete Choice Models 11. Simulations Index

Testing for violations of the Independence from Irrelevant Alternatives


The MNL is based on a fairly restrictive IIA property that assumes that the ratios of probabilities of the alternatives remain unchanged. This is true only for the choice set (set of all the alternatives) that does not share any common characteristic or, put differently, the alternatives are not correlated.

The most famous example of the IIA violation is the red bus/blue bus paradox. Consider a situation where you are choosing between traveling by car, train, or blue bus. For the sake of simplicity, we assume that the probability of selecting each of the options is equal to 1/3. Under IIA, if we added a red bus to the choice set, the ratio of the probabilities of the remaining options would remain constant so the probabilities would now equal 1/4.

However, in reality, does the color of the bus matter that much?! Let's, for the sake of argument, assume that it does not, and in effect we are still selecting between the car...

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