Empirical modeling of production decisions of heterogeneous farmers with random parameter models

In random effects models, three kinds of heterogeneity distributions are considered in this paper: Gamma, Inverse- Gaussian and Log-Normal.. In Section 3, following the work of

Sensitivity analysis with dependent random variables : Estimation of the Shapley effects for unknown input distribution and linear Gaussian models.. Université

Two discrete choice models were produced for the purpose of this paper. Both are based on the logit specification of the error terms. The first model is a true random utility

This paper focuses on the comparison of estimation and prediction results between the random utility maximization (RUM) and random regret minimization (RRM)

This paper focuses on the comparison of estimation and prediction results between the random utility maximization (RUM) and random regret minimization (RRM)

A stochastic approach to model crack propagation in random heterogeneous media, using mesoscopic representations of elastic and fracture properties, is presented.. In order to

Estimation of Parsimonious Covariance Models for Gaussian Matrix Valued Random Variables for Multi-Dimensional Spectroscopic Data... Estimation of Parsimonious Covariance

However, since the elastic waves are traveling through a statistically homogeneous random media, the wave pattern obtained after several wavelengths and correlation lengths is