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Multivariate Multinomial Logit Models for Dyadic Sequential Interaction Data
Multivariate Behavioral Research, 2003The analysis of discrete dyadic sequential behavior and, in particular, the problem of forecasting future behavior from current and past behavior in such data is the main theme of the present article. We propose to use multivariate multinomial logit models and the potential of which will be demonstrated with data on Imagery play therapy.
Rooij, M.J. de, Kroonenberg, P.M.
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The Nested Multinomial Logit Model
1987An 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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Standard errors in the multinomial logit model
Communications in Statistics - Theory and Methods, 1986Asymptotic stmdard errors in the multinomial log it model are derived for efficient estimates of (A) the probability of choosing an alternative , (B) the change in the probability of choosing an alternative given a change in an explanatory variable , (C) the expected response, and (D) the change in the expected response given a change in an explanatory
Thomas B. Fomby, James E. Pearce
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A Multinomial Extension of the Linear Logit Model
International Economic Review, 1969A large number of analyses in the social sciences are concerned with the determinants of the probability that a particular event will occur. For example, one may be interested in the forces which motivate commuters to use their cars to go to work as against some form of mass transport. Time, cost, and other considerations will play a role. Let p be the
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2004
Le modèle logit à coefficients aléatoires est le modèle le plus prometteur parmi les modèles de choix discrets. Il généralise le modèle logit multinomial standard et utilise des méthodes de simulation pour l'estimation du modèle. De plus, il permet d'estimer la distribution des propensions marginales à payer.
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Le modèle logit à coefficients aléatoires est le modèle le plus prometteur parmi les modèles de choix discrets. Il généralise le modèle logit multinomial standard et utilise des méthodes de simulation pour l'estimation du modèle. De plus, il permet d'estimer la distribution des propensions marginales à payer.
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Multinomial Logit Models of Trade Coefficients
1988Having studied how commodity prices and shipment rates can be simultaneously determined given trade coefficients, we now turn to the reverse question: how should trade coefficients be estimated, given prices and shipment rates? There are a number of possible approaches to this question and several trade coefficient models exist, but the modeling of ...
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Approximate inference for the multinomial logit model
Statistics & Probability Letters, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies
Ca-A Cancer Journal for Clinicians, 2022Paolo Tarantino +2 more
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An overview of real‐world data sources for oncology and considerations for research
Ca-A Cancer Journal for Clinicians, 2022Lynne Penberthy +2 more
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The biofilm life cycle: expanding the conceptual model of biofilm formation
Nature Reviews Microbiology, 2022Karin Sauer +2 more
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