Eleanor McDonnell Feit
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(New page: My research focuses on the interface between marketing and engineering design. My goal is to develop quantitative marketing research and design optimization methods that are integrated, so...) |
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| - | + | Eleanor McDonnell Feit is a PhD Candidate in Marketing at the Ross School of Business at the University of Michigan. Prior to entering the program at Michigan, she worked at General Motors in the Research & Development Center and the Advanced Vehicle Development Center. | |
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| + | == Research Interests == | ||
| + | Ms. Feit's research focuses on the interface between marketing and engineering design. Her goal is to develop quantitative marketing research and design optimization methods that are integrated, so that marketing research informs design decisions and design constraints inform marketing research. Methodologically, her work contributes to research in choice modeling, consumer preference measurement, design of experiments, discrete optimization methods, Bayesian hierarchical models and Bayesian approaches to latent variables and missing data. She has special expertise in automotive engineering and marketing. | ||
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| + | == E-Mail Address == | ||
| + | efeit at umich.edu | ||
Revision as of 14:45, 21 February 2008
Eleanor McDonnell Feit is a PhD Candidate in Marketing at the Ross School of Business at the University of Michigan. Prior to entering the program at Michigan, she worked at General Motors in the Research & Development Center and the Advanced Vehicle Development Center.
Research Interests
Ms. Feit's research focuses on the interface between marketing and engineering design. Her goal is to develop quantitative marketing research and design optimization methods that are integrated, so that marketing research informs design decisions and design constraints inform marketing research. Methodologically, her work contributes to research in choice modeling, consumer preference measurement, design of experiments, discrete optimization methods, Bayesian hierarchical models and Bayesian approaches to latent variables and missing data. She has special expertise in automotive engineering and marketing.
E-Mail Address
efeit at umich.edu
