Results 291 to 300 of about 179,468 (342)

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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Understanding the determinants of household cooking fuel choice in Afghanistan: A multinomial logit estimation

Energy, 2018
Cooking energy demand in Afghanistan has mostly fulfilled by traditional energy sources despite availability of health and environment friendly clean energy options internationally.
Uttam Paudel, Umesh Khatri, K. Pant
semanticscholar   +1 more source

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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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
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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 ...
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The Nested Multinomial Logit Model

1987
An important and intuitive generalization of the MNL specification is the nested multinomial logit (NMNL) model (McFadden, 1978). This model is able to generate substantial deviations from the “Independence of Irrelevant Alternatives” assumption but retains most of the computational advantages of the MNL model. Because of these features, the NMNL model
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ENTENDENDO A TOLERÂNCIA AO RISCO: PROPOSIÇÃO DE UM MODELO LOGIT MULTINOMIAL

, 2017
Jéssica Pulino Campara, K. Vieira, R. Filho, D. Coronel   +3 more
semanticscholar   +1 more source