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conjoint analysis

18 papers and 2 presentations; 17 titles.

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Conference × Year × Title × Authors Extras Pages
SCSUG 2018 Advanced Analytics Architecture at General Motors Joe Aarons source 27
SGF 2015 Tell Me What You Want: Conjoint Analysis Made Simple Using SAS Delali Agbenyegah source 14
PHUSE EU 2014 Conjoint Analysis of Treatment Preference Milena Balcerzak source
presentation source		 12
MWSUG 2014 Tell Me What You Want: Conjoint Analysis Made Simple Using SAS Delali Agbenyegah 14
WUSS 2014 Design of Experiments (DOE) Using JMP [presentation] Charles E. Shipp 16
NESUG 2012 Decision-Making Using the Analytic Hierarchy Process (AHP) and SAS/IML Melvin T. Alexander 12
SESUG 2012 Decision-Making Using the Analytic Hierarchy Process (AHP) and SAS/IML Melvin T. Alexander,
Social Security		 source 12
WUSS 2002 Using SAS/IML to Perform Hierarchical Bayes Estimation for Discrete Choice Modeling David Steehard,
Nan-Ting Chou		 source 5
VIEWS 2001 A Conjoint-based Choice Modelling Approach Using the PHREG Procedure to Evaluate the Importance of Fisheries Management Objectives Premachandra Wattage,
Simon Mardle,
Sean Pascoe		 14
SEUGI 2000 Xelector: Select Connect Enable [presentation] Donnie O'Sullivan source 23
SEUGI 1995 Using the SAS System for Market Research Gerhard Held source 3
SUGI 1995 Introducing the Market Research Analysis Application Wayne E. Watson source 8
SUGI 1995 Using the SAS System for Market Research Laurie Rose source 5
MWSUG 1992 Marketing Research: Uncovering Competitive Advantages Warren F. Kuhfeld 9
SEUGI 1992 Marketing Research - Uncovering Competitive Advantage Gerhard Held source 8
SUGI 1992 Marketing Research: Uncovering Competitive Advantages Warren F. Kuhfeld source 9
SEUGI 1990 Performing Conjoint Analysis Using Proc Transreg Bjarne Nielsen,
Marcus Schmidt		 source 6
SEUGI 1988 New Developments in Psychometric and Market Research Procedures Gerhard Held source 5
SUGI 1988 New Developments in Pyschometric and Market Research Procedures Warren F. Kuhfeld,
Forrest W. Young		 source 5
SEUGI 1984 New Statistical Features in SAS Gerhard Held source 13

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