Technical Report: Portfolio Optimization Based on First Choice

First choice, sometimes called discrete choice, involves the selection of an item from a number of mutually exclusive items. This means that when a consumer chooses an item, this choice necessarily implies that all other items are rejected. There are numerous models to account for first choice and often these models predict the probability of choice based on a continuous function of driver variables. In this report we instead focus on a discrete approach to optimization, meaning that we use tools from discrete mathematics to account for the choices made by consumers.

This technical report appears as:
Ennis, J. M. and Fayle, C. M. (2010). Portfolio Optimization Based on First Choice. IFPress, 13(2) 2-3.

Download the entire technical report here:
Portfolio Optimization Based on First Choice

Not a Colleague? Click here to join for free!

This technical report also appears in our book, Tools and Applications of Sensory and Consumer Science.

Tags: , ,

Upcoming Webinar

September 21, 2017

Large TURF Problems: Finding Custom Solutions


Announcing the release of the 2016 Webinar Series Package!

Offered at a discounted rate of 50% off regular price, this package contains recordings of all four webinars offered during the 2016 Quarterly Webinar Series.

Create Your Own Webinar Package


Webinar calendar


Become a Colleague!

Join now to gain access to our technical reports, presentations, and more!

Click here to login or join.

Student Award

Now accepting applications for the
2017 Institute for Perception Student Award

site search