Scientific Research Publishing

Freese, J. and Long, J.S. (2000) Tests for the Multinomial Logit Model. Stata Techni- cal Bulletin, 10, 247-255.

ABSTRACT: Multinomial logistic regression (MNL) is an attractive statistical approach in modeling the vehicle crash severity as it does not require the assumption of normality, linearity, or ...
JSTOR Daily

Integrating the Dirichlet-Multinomial and Multinomial Logit Models of Brand Choice

This paper discusses the interpretative benefits that arise from merging the Dirichlet- multinomial (DM) model as a loyalty variable in the multinomial logit (MNL) model of brand choice. The estimated ...
JSTOR Daily

Identifying Response Styles: A Latent-Class Bilinear Multinomial Logit Model

Respondents can vary strongly in the way they use rating scales. Specifically, respondents can exhibit a variety of response styles, which threatens the validity of the responses. The purpose of this ...
IEEE

Group Penalized Multinomial Logit Models and Stock Return Direction Prediction

Abstract: Multinomial logit model(MLM) has been proposed as the most frequently regression model for multi-category response. To deal with correlated data, in this paper we propose ...
Scientific Research Publishing

Wulf, J. N. (2014). Interpreting Results from the Multinomial Logit Model: Demonstrated by Foreign Market Entry. Organizational Research Methods, 18, 300-325.

ABSTRACT: Climate change is a global phenomenon that involves the long-term fluctuation of the earth’s climate system. Specifically, climate change is acknowledged as a vital challenge to pastoralist ...