Este documento presenta un análisis de la evolución reciente de la accesibilidad presencial a los servicios bancarios en España, tanto desde la perspectiva de la oferta —los puntos de acceso presencial disponibles— como desde la perspectiva de la demanda —el uso y valoración por parte...

Este documento presenta un análisis de la evolución reciente de la accesibilidad presencial a los servicios bancarios en España, tanto desde la perspectiva de la oferta —los puntos de acceso presencial disponibles— como desde la perspectiva de la demanda —el uso y valoración por parte...

The last years have witnessed a dramatic shift of the world`s military, political, and economic paradigm from a bi-polar competitive gridlock to a more fluid, multi-player environment. This change has necessarily been followed by a re-evaluation of the strategic thinking and by a reassessment of...

Simple time trend variables in factor demand models can be statistically powerful variables, but may tell the researcher very little. Even more complex specification of technical change, e.g. factor biased, are still the economentrician's measure of ignorance'' about the shifts that occur in the...

The effectiveness of SO{sub 2} emission allowance trading under Title 4 of the 1990 Amendments to the Clean Air Act (CAA) is of great interest due to the innovative nature of this market incentive approach. However, it may be a mistake to frame the compliance problem for a utility as a decision...

The development of an approximate-reasoning (AR)-based model to analyze pretreatment options for high-level waste is presented. AR methods are used to emulate the processes used by experts in arriving at a judgment. In this paper, the authors first consider two specific issues in applying AR to...

Environmental radiological assessments rely heavily on the use of mathematical models. The predictions of these models are inherently uncertain because these models are inexact representations of real systems. The major sources of this uncertainty are related to biases in model formulation and...

To compensate for the potential for overly conservative estimates of risk using standard US Environmental Protection Agency methods, an uncertainty analysis should be performed as an integral part of each risk assessment. Uncertainty analyses allow one to obtain quantitative results in the form...

This paper addresses problems of calibration and estimation of a parameter, p{sub o}, in high level neutron coincidence counting (HLNC) measurement. The presentation begins with a deductive approach, based on the generally accepted physical equations which are satisfied by the total and...

Measurement error modeling is a statistical approach to the estimation of unknown model parameters which takes into account the measurement errors in all of the data. Approaches which ignore the measurement errors in so-called independent variables may yield inferior estimates of unknown model...