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Making Count-Based Claims from Sample Data (2019) | Ifpress.com

Large TURF Problems: Finding Custom Solutions

Ennis, J. M. and Russ, W. J. (2017). IFPress, 20(3) 3-4.

Abstract:

 

In previous technical reports, we have separately considered the topic of efficient searches for compatible combinations from large numbers of possibilities and the topic of modern techniques for approaching large TURF problems using the eTURF 2.0 technique. These two topics share a common structure that allows them to be combined to facilitate custom TURF analyses that incorporate unique aspects of project goals directly into the search for best solutions. Such customizations of TURF analysis have long been a source of interest within market research and, in this report, we look at one such custom analysis using a technique called linear programming.

Figure 2. Respondent compatibility proportions.

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