Results 231 to 240 of about 167,597 (287)

A multinomial logit analysis of factors associated with severity of motorcycle crashes in Ghana

Traffic Injury Prevention, 2019
Objective: 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

Predicted Probabilities and Inference with Multinomial Logit

Political Analysis, 2020
Multinomial 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
semanticscholar   +1 more source

CONDITIONAL AND MULTINOMIAL LOGITS AS BINARY LOGIT REGRESSIONS

Advances in Adaptive Data Analysis, 2011
For a categorical variable with several outcomes, its dependence on the predictors is usually considered in the conditional or multinomial logit models. This work considers elasticity features of the binary and categorical logits and introduces the coefficients individual by observations.
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On the multinomial logit model

Physica A: Statistical Mechanics and its Applications, 1999
Abstract We show that the Multinomial Logit model of bounded rational choice can be derived in the same way as the Gibbs–Boltzmann distribution in statistical physics. In particular, this model describes the behavior of a thermodynamic agent (which is an agent whose utility function depends on a very large number of variables) with respect to a ...
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Network Revenue Management under a Spiked Multinomial Logit Choice Model

Operational Research, 2019
Customers are sensitive to price when they shop from a group of substitutable products. Specifically, they are often attracted to the cheapest product in the group, even when the price difference to the next cheapest product is small.
Yufeng Cao, A. Kleywegt, He Wang
semanticscholar   +1 more source

The K-deformed multinomial logit model

Economics Letters, 2005
Abstract We extend choice models where the deterministic part of the utility is subject to a deformation filter that affects how the choice probabilities react to changes in explanatory variables. We focus on extending the multinomial logit. Other generalizations are considered.
Rajaonarison, Dominique, Bolduc, Denis, Jayet, Hubert   +2 more
openaire   +3 more sources

Random Forests for multiclass classification: Random MultiNomial Logit [PDF]

Expert Systems with Applications, 2008
Several supervised learning algorithms are suited to classify instances into a multiclass value space. MultiNomial Logit (MNL) is recognized as a robust classifier and is commonly applied within the CRM (Customer Relationship Management) domain. Unfortunately, to date, it is unable to handle huge feature spaces typical of CRM applications.
A. PRINZIE, D. VAN DEN POEL
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Stochastic Prediction in Multinomial Logit Models

Management Science, 2000
It is standard practice to form predictions from multinomial logit models by ignoring the estimation error associated with the parameter estimates and solving for the predicted endogeneous variable (market share) in terms of the exogenous variables and the point estimates of the parameters.
Arthur Hsu, Ronald T. Wilcox
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Systematic Calibration of Multinomial Logit Models

Journal of Transportation Engineering, 1983
This paper presents a systematic procedure for calibrating a multinomial logit model through the use of the UTPS computer package developed by the Urban Mass Transportation Administration (UMTA) for the purpose of travel demand forecasting. A brief examination of the mathematical basis of the multinomial logit model is also presented.
Snehamay Khasnabis, Michael J. Cynecki, Mark A. Flak   +2 more
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Family labour force participation: Multinomial logit estimates

Applied Economics, 1981
Studies of labour force participation choices are mostly aimed at explaining determinants of participation for individuals. The objective of this study is the empirical estimation of the parameters of family participation decisions. Family participation decisions can be analysed as a choice problem of a family between a finite number of distinct ...
openaire   +2 more sources