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Market Data Analysis Using JMP by Walter R. Paczkowski

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Discrete Choice Analysis

Introduction

In this section I focus on Discrete Choice Analysis and how to implement a design and analysis in JMP. This is more extensive than the Conjoint section because discrete choice theory is more extensive and complicated. You need to know the background of this theory in order to understand and be able to interpret the models. A new Pricing Scenario is also used throughout this section to illustrate concepts and principles and their implementation in JMP. First, however, I comment on the types of discrete choice studies commonly used.

Stated Versus Revealed Preference Discrete Choice Studies

There are two types of discrete choice studies: stated preference and revealed preference. A stated preference ...

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