The Generalized Method of Moments (GMM) is discussed for handling the joint occurrence of fixed effects and random measurement errors in an autoregressive panel data model. Finite memory of disturbances, latent regressors and measurement errors is assumed. Two specializations of GMM are...

Background: There is ongoing interest in assessing the effectiveness of various drug control strategies, including policy intended to reduce initiation and prevalence. Compartmental models of trajectories of drug use have been developed that demonstrate that drug “systems” display...

Background: There is ongoing interest in assessing the effectiveness of various drug control strategies, including policy intended to reduce initiation and prevalence. Compartmental models of trajectories of drug use have been developed that demonstrate that drug “systems” display...

In this paper, a continuous multi-product model is developed to represent the shop floor dynamics of a job shop, based on dynamic modeling and on analogies to electrical components. This approach allows the mathematical formulation of the model (state representation) and the analysis of its...

The design and optimization of ground source heat pump systems require the ability to accurately reproduce the dynamic thermal behavior of the system on a short-term basis, specially in a system control perspective. In this context, modeling borehole heat exchangers (BHEs) is one of the most...

Generalized Method of Moments (GMM) estimation is discussed under the joint occurrence of fixed effects and random measurement errors in an autoregressive panel data model. Finite memory of measurement errors is allowed for. Two GMM specializations are considered: (i) using instruments (IVs) in...

Platinum is increasingly used intentionally and non-intentionally in several applications. This has raised the concern about its future resources, emissions and losses during its life cycle. On the one hand, increasing platinum emissions might affect human health. On the other hand, the...

A state-space dynamic model for a palm wastes boiler is being developed and simulated. The unique feature of this boiler is that it uses wastes in the form of fiber and shell from the palm oil processing as its fuels. Specific characteristics of oil palm waste boilers are non-uniform fuel feed,...

This paper presents the modeling and the experimental validation of air and water solar collectors used in humidification–dehumidification (HDH) solar desalination unit. The solar desalination process is currently operating under the climatological conditions of Sfax (34 N, 10 E), Tunisia. To...

An evolutionary computation approach for optimization of power factor and power output of wind turbines is discussed. Data-mining algorithms capture the relationships among the power output, power factor, and controllable and non-controllable variables of a 1.5MW wind turbine. An evolutionary...