In the context of Bayesian statistical analysis, elicitation is the process of formulating a prior density f(.) about one or more uncertain quantities to represent a person's knowledge and beliefs. Several different methods ...

In the context of Bayesian statistical analysis, elicitation is the process of formulating a prior density f(.) about one or more uncertain quantities to represent a person's knowledge and beliefs. Several different methods ...

Fully Bayesian methods for Cox models specify a model for the baseline hazard function. Parametric approaches generally provide monotone estimations. Semi-parametric choices allow for more flexible patterns but they can ...

This article proposes a probability model for kappa-dimensional ordinal outcomes, that is, it considers inference for data recorded in kappa-dimensional contingency tables with ordinal factors. The proposed approach is ...

La investigación tuvo como el objetivo determinar los lineamientos que mejoren los procesos de control previo para el reconocimiento del gasto y registro del devengado en el área contable de una entidad estatal en la ciudad ...

In recent years, victimological research has turned toward the study of victims' perceptions or meanings of justice, challenging the traditional and prevailing understanding of the retributivist approach; this shift in ...

This descriptive research is aimed at demonstrate the relationship between knowledge Prior reports on the textual content and understanding expository texts in the 5th grade students of education primary school in a state ...

This descriptive research is aimed at demonstrate the relationship between knowledge Prior reports on the textual content and understanding expository texts in the 5th grade students of education primary school in a state ...

This descriptive research is aimed at demonstrate the relationship between knowledge Prior reports on the textual content and understanding expository texts in the 5th grade students of education primary school in a state ...