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Do men and women define health differently? A cross-national study of gender differences in self-rated health. [PDF]
Engelhardt H, Leopold L.
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Legal Logit Model for predicting judicial disagreement in Indian courts. [PDF]
N S, J J.
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Childhood Speech Impairment and Dementia Risks Among U.S. Older Adults. [PDF]
Wang H, Xu S, Pei Y.
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Preferences for Infection Prevention in Hospital-Acquired Infections.
Elangovan S +5 more
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Statisticians along with other scientists have made significant computational advances that enable the estimation of formerly complex statistical models. The Bayesian inference framework combined with Markov chain Monte Carlo estimation methods such as the Gibbs sampler enable the estimation of discrete choice models such as the multinomial logit (MNL)
Washington, Simon +3 more
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Multinomial Logit Specification Tests
International Economic Review, 1985This paper considers tests of the multinomial logit (MNL) model against unspecified alternative models. The test we propose avoids both the asymptotic bias of the likelihood ratio test originally suggested by \textit{D. McFadden}, \textit{K. Train} and \textit{W. Tye} [An application of diagnostic tests for the independence from irrelevant alternatives
Hsiao, Cheng, Small, K.
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Optimizing Multinomial Logit Profit Functions
Management Science, 1996The multinomial logit model is a standard approach for determining the probability of purchase in product line problems. When the purchase probabilities are multiplied by product contribution margins, the resulting profit function is generally nonconcave.
Ward Hanson, Kipp Martin
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Two-stage multinomial logit model
Expert Systems with Applications, 2011We suggest a two-stage multinomial logit model (TMLM) for incorporating and interpreting both the interaction and main effects in the model for multi-categorized responses. TMLM combines the robustness of multinomial logit model (MLM) with the good properties of decision tree (DT), which makes it possible to cluster homogeneous subjects and thus to ...
Jin-Hyung Kim, Mijung Kim
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