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University of Michigan

1. Feng, Wen. Assessment of Social Preference in Automotive Market using Generalized Multinomial Logistic Regression.

Degree: MSin Engineering, Industrial and Systems Engineering, College of Engineering and Computer Science, 2016, University of Michigan

Individual auto market share is always one of the major concerns of any auto manufacturing company. It indicates a lot of things about the company such as profitability, competitiveness, short term and long term development and so on. The focus of this paper is to construct a quantitative model that can precisely formulate the social welfare function of the auto market by relating the auto market share with the utilities of the significant vehicle-purchasing criteria (e.g. reliability, safety, etc.) that concern vehicle buyers. Social welfare function is defined as the additive form of the utility of each criterion considered, it’s a good estimation of the customer preferences. The assessment methods used in this research include random utility theory and B-spline fitted logistic regression model. G-test is applied to select the criteria that is significant to the vehicle market social welfare, pseudo R-squareds are used as the model goodness-of-fit measures and Kendall rank correlation coefficient and Matthews correlation coefficient are applied to validate the assessment model. A case study using the U.S. auto market and vehicles related data collected in years of 2013 and 2014 are conducted to illustrate the assessment process of the social welfare function, and the data from 2015 are used to validate the assessment model. Advisors/Committee Members: Hu, Jian (advisor), Liu, Yung-Wen (advisor), Zakarian, Armen (committee member).

Subjects/Keywords: Market share prediction; Social welfare function; Random utility theory; B-spline fitted logistic regression; G-test; Pseudo R-squared; Kendall rank correlation coefficient; Matthews correlation coefficient; Marketing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Feng, W. (2016). Assessment of Social Preference in Automotive Market using Generalized Multinomial Logistic Regression. (Masters Thesis). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/136069

Chicago Manual of Style (16th Edition):

Feng, Wen. “Assessment of Social Preference in Automotive Market using Generalized Multinomial Logistic Regression.” 2016. Masters Thesis, University of Michigan. Accessed July 15, 2019. http://hdl.handle.net/2027.42/136069.

MLA Handbook (7th Edition):

Feng, Wen. “Assessment of Social Preference in Automotive Market using Generalized Multinomial Logistic Regression.” 2016. Web. 15 Jul 2019.

Vancouver:

Feng W. Assessment of Social Preference in Automotive Market using Generalized Multinomial Logistic Regression. [Internet] [Masters thesis]. University of Michigan; 2016. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2027.42/136069.

Council of Science Editors:

Feng W. Assessment of Social Preference in Automotive Market using Generalized Multinomial Logistic Regression. [Masters Thesis]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/136069

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