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Mostrando ítems 1-10 de 2025
Estimation methods for the discrete poisson-lindley and discrete lindley distributions with actuarial measures and applications in medicine
Discrete distributions have their important in modeling count data in several applied fields such as epidemiology, public health, sociology, medicine, and agriculture. This paper discusses the estimation of the parameters ...
Modeling discrete choices in the presence of inertia and serial correlation
(INFORMS, 2007)
The concept of habit or inertia in the context of (reluctance to) change in travel behavior has an important bearing on transport policy (e.g., how to break car use habits) and has remained an unresolved issue in demand ...
Allowing for Complementarity and Rich Substitution Patterns in Multiple Discrete- Continuous Models
(Elsevier, 2015)
Many consumer choice situations are characterized by the simultaneous demand for multiple alternatives that are imperfect substitutes for one another, along with a continuous quantity dimension for each chosen alternative. ...
Duration Dependence and Timevarying Variables in Discrete Time Duration Models
(Sociedade Brasileira de Econometria, 2010)
Multiple discrete continuous choice modeling through additively and non-additively separable functional forms.
(Universidad de Concepción.Facultad de Ciencias Económicas y Administrativas, 2023)
This paper compares welfare measures for Multiple Discrete-Continuous (MDC) choice models
with Additively Separable Utility (ASU) and Non-Additively Separable Utility (NASU) functions. The uncommonly used NASU approach ...
Representation of heteroskedasticity in discrete choice models
(PERGAMON-ELSEVIER SCIENCE LTD, 2000)
The Multinomial Legit, discrete choice model of transport demand, has several restrictions when compared with the more general Multinomial Probit model. The most famous of these are that unobservable components of utilities ...
Characterization of semiglobal stability properties for discrete-time models of non-uniformly sampled nonlinear systems
(Elsevier Science, 2018-12)
Discrete-time models of non-uniformly sampled nonlinear systems under zero-order hold relate the next state sample to the current state sample, (constant) input value, and sampling interval. The exact discrete-time model, ...
Modeling grouped survival data with time-dependent covariates
(Taylor & Francis Inc, 2006-10-01)
In this article, proportional hazards and logistic models for grouped survival data were extended to incorporate time-dependent covariates. The extension was motivated by a forestry experiment designed to compare five ...
Modeling grouped survival data with time-dependent covariates
(Taylor & Francis Inc, 2006-10-01)
In this article, proportional hazards and logistic models for grouped survival data were extended to incorporate time-dependent covariates. The extension was motivated by a forestry experiment designed to compare five ...
A Generalized Log-Normal Model for Grouped Survival Data
(Taylor & Francis Inc, 2010-01-01)
It is common to have experiments in which it is not possible to observe the exact lifetimes but only the interval where they occur. This sort of data presents a high number of ties and it is called grouped or interval-censored ...