1- To obtain a set of values of health states of the EQ-5D based on self-related health VAS using linear and non- linear models Bayesian techniques. 2 - To analyse "logical consistency" in different models and to derive a model free from logical inconsistencies. 3 - To analyse and compare...

When using the EQ-5D in European cross-national studies, there is no consensus over whether the European value set (EVS), country specific value sets (CVS) or UK value set (UKVS) should be used. Data on health outcomes were collected in 7 countries. EQ-5D index scores were generated for each...

To elicit preference weights for a subset of EuroQol five-dimensional (EQ-5D) questionnaire health states from a representative sample for the state of Minas Gerais, Brazil, using a time trade-off (TTO) method and to analyze these data so as to estimate social preference weights for the complete...

Finite mixture modeling approach is widely used for the analysis of bimodal or multimodal data that are individually observed in many situations. However, in some applications, the analysis becomes substantially challenging as the available data are grouped into categories. In this work, we...

Purpose – The purpose of this paper is to examine the effects of parameter uncertainty in the returns process with regime shifts on optimal portfolio choice over the long run for a static buy-and-hold investor who is investing in industry portfolios. Design/methodology/approach – This paper...

The paper takes up inference in the stochastic frontier model with gamma distributed inefficiency terms, without restricting the gamma distribution to known integer values of its shape parameter (the Erlang form). The paper shows that Gibbs sampling with data augmentation can be used in a...

The paper provides a unifying framework for conducting Bayesian inference on the presence of seasonal and zero frequency unit roots in quarterly data. The main technique used is the analysis of posterior odds ratios. A new parameterization is provided for the model and the prior distributions...

In this paper, we examine deterministic and Bayesian methods for analyzing finite Dirichlet mixtures. The deterministic method is based on the likelihood approach, and the Bayesian approach is implemented using the Gibbs sampler. The selection of the number of clusters for both approaches is...

This paper addresses statistical estimation problems of the optimal repair-cost limits minimizing the long-run average costs per unit time in discrete seting. Two discrete repair-cost limit replacement models with/without imperfect repair are considered. We derive the optimal repair-cost limits...