Results 311 to 320 of about 132,464 (343)

Corporate credit default models: a mixed logit approach

Review of Quantitative Finance and Accounting, 2012
The popular logit model is extended to allow for varying stochastic parameters (mixed logit) and non-linearities of regressor variables while analysing a cross-sectional sample of German corporate credit defaults. With respect to economic interpretability and goodness of probability forecasts according to disriminatory power and calibration, empirical ...
Martin Kukuk, Michael Rönnberg
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Dynamic traffic assignment model based on mixed-logit

2017 4th International Conference on Transportation Information and Safety (ICTIS), 2017
The inherent limitation and applicable condition of the Logit Model and Mixed Logit model are studied separately, parameters estimation and simulation analysis of mixed logit model are presented based on Monte Carlo. For network traffic assignment, a logit model is adopted to compute travelers' route choice probability at departure time.
Chen Maolu, Chen Lingjuan, Wang Zengqiang   +2 more
openaire   +1 more source

Predicting Firm Financial Distress: A Mixed Logit Model

The Accounting Review, 2004
Over the past three decades the literature on financial distress prediction has largely been confined to simple multiple discriminant analysis, binary logistic or probit analysis, or rudimentary multinomial logit models (MNL). There has been a conspicuous absence of modeling innovation in this literature as well as a failure to keep abreast of ...
Stewart Jones, David A. Hensher
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Mixed multinomial logit model

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.
openaire   +1 more source

Mixed logit modeling in Stata--an overview [PDF]

, 2013
The "workhorse" model for analysing discrete choice data, the conditional logit model, can be implemented in Stata using the official clogit and asclogit commands. While widely used, this model has several well-known limitations that have led researchers in various disciplines to consider more flexible alternatives.
openaire  

Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies

Ca-A Cancer Journal for Clinicians, 2022
Paolo Tarantino, Roberto Carmagnani Pestana, Shanu Modi   +2 more
exaly  

An overview of real‐world data sources for oncology and considerations for research

Ca-A Cancer Journal for Clinicians, 2022
Lynne Penberthy, Donna R Rivera, Jennifer L Lund, Msph   +2 more
exaly  

An Introduction to Mixed Logit Model

Journal of Research Methodology, 2017
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Mixed logit models: accuracy and software choice

Journal of Applied Econometrics, 2010
Jae Bong Chang, Jayson L. Lusk
openaire   +1 more source

Colorectal cancer screening for average‐risk adults: 2018 guideline update from the American Cancer Society

Ca-A Cancer Journal for Clinicians, 2018
Timothy R Church, Christopher R Flowers, Carmen E Guerra   +2 more
exaly