Results 281 to 290 of about 179,468 (342)
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Transportation Research Record: Journal of the Transportation Research Board, 2009
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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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
openaire +2 more sources
Investigating influence factors of traffic violation using multinomial logit method
International Journal of Injury Control and Safety Promotion, 2020Deaths and injuries resulted from road traffic crashes remain a serious problem globally, and current trends suggest that this will continue to be the case in the foreseeable future mainly in developing countries.
Tefera Bahiru Ambo, Jian Ma, Chuanyun Fu
semanticscholar +1 more source
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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Predicted Probabilities and Inference with Multinomial Logit
Political Analysis, 2020Multinomial logit (MNL) differs from many other econometric methods because it estimates the effects of variables upon nominal, not ordered outcomes. One consequence of this is that the estimated coefficients vary depending upon a researcher’s decision ...
Philip Paolino
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Fuel choices for cooking in China: Analysis based on multinomial logit model
Journal of Cleaner Production, 2019Ensuring household access to affordable, reliable, sustainable and modern energy for all the people is one of the 17 United Nations Sustainable Development Goals (SDGs).
Hua Liao +3 more
semanticscholar +1 more source
El ahorro formal e informal de las y los mexicanos. Un enfoque de logit multinomial
TrendinomicsEste trabajo tiene como objetivo medir la probabilidad de ahorro desde la perspectiva de cuatro categorías, el ahorro formal, el ahorro informal, el ahorro combinado (formal e informal) y la ausencia de ahorro en función de características ...
Javier Martínez Morales
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Product-Line Pricing Under Discrete Mixed Multinomial Logit Demand
Manufacturing & Service Operations Management, 2019We study a product-line price optimization problem with demand given by a discrete mixed multinomial logit (MMNL) model.
Hongmin Li +3 more
semanticscholar +1 more source
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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A multinomial logit analysis of factors associated with severity of motorcycle crashes in Ghana
Traffic Injury Prevention, 2019Objective: The objective of this study was to explore the factors affecting motorcycle crash severity in Ghana. Methods: A retrospective analysis of motorcycle crash data between 2011 and 2015 was conducted using a motorcycle crash data set extracted ...
Lukuman Wahab, Haobin Jiang
semanticscholar +1 more source
Energy and Buildings, 2019
This study compares the linear regression model, ordered probability model, and multinomial logit model for prediction of the individual thermal sensation votes (TSVs) and TSV distributions under given conditions.
D. Lai, Chun Chen
semanticscholar +1 more source
This study compares the linear regression model, ordered probability model, and multinomial logit model for prediction of the individual thermal sensation votes (TSVs) and TSV distributions under given conditions.
D. Lai, Chun Chen
semanticscholar +1 more source