Results 71 to 80 of about 1,349,193 (349)

The role of the reference alternative in the specification of asymmetric discrete choice models [PDF]

open access: yes
Within the discrete choice modelling literature, there has been growing interest in including reference alternatives within stated choice survey tasks.
John M. Rose, Lorenzo Masiero
core  

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Preference of individuals in the treatment strategies of acute myocardial infarction in China: a discrete choice experiment

open access: yesHealth and Quality of Life Outcomes, 2020
Background Acute myocardial infarction (AMI) is a significant cause of mortality and morbidity worldwide. Today, with increasing life quality and social economy, people pay much attention to the cost-effectiveness of a treatment strategy.
Weiqian Dai   +5 more
doaj   +1 more source

Capturing Preferences Under Incomplete Scenarios Using Elicited Choice Probabilities. [PDF]

open access: yes
Manski (1999) proposed an approach for dealing with a particular form respondent uncertainty in discrete choice settings, particularly relevant in survey based research when the uncertainty stems from the incomplete description of the choice scenarios ...
Bhattacharjee, Subhra   +2 more
core  

An Adaptive Human Pilot Model With Reaction Time Delay for Enhanced Adaptive Control in Piloted Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces an adaptive human pilot model that captures pilot time‐delay effects in adaptive control systems. The model enables the prediction of pilot–controller interactions, facilitating safer integration and improved design of adaptive controllers for piloted applications.
Abdullah Habboush, Yildiray Yildiz
wiley   +1 more source

Pregibit: A Family of Discrete Choice Models [PDF]

open access: yes
The pregibit discrete choice model is built on a distribution that allows symmetry or asymmetry and thick tails, thin tails or no tails. Thus the model is much richer than the traditional models that are typically used to study behavior that generates ...
Vijverberg, Chu-Ping C.   +1 more
core  

Marginal and Interaction Effects in Ordered Response Models [PDF]

open access: yes, 2008
In discrete choice models the marginal effects of a variable that is interacted with another variable and the interaction term differ from the marginal effect of a variable that is not interacted with any variable. Standard software incorrectly estimates
Mallick, Debdulal
core   +2 more sources

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

Stimulating agritourism loyalty in the Mid-Atlantic states of the USA

open access: yesTourism
Agritourism as a niche tourism market has become an alternative income-generating sector for conventional farmers that focus on both production and marketing.
Rahmiye Figen Ceylan   +3 more
doaj   +1 more source

New Model of Random Regret Minimization

open access: yesEuropean Journal of Transport and Infrastructure Research, 2010
A new choice model is derived, rooted in the framework of Random Regret Minimization (RRM). The proposed model postulates that when choosing, people anticipate and aim to minimize regret.
Caspar G. Chorus
doaj   +1 more source

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