Models which estimate influenza mortality probably overestimate this mortality because their baseline estimates include only nonepidemic weeks. We present a stochastic frontier estimation model which better reflects influenza mortality.

This article estimates a partially linear model that permits non-linearities of unspecified form in the school quality-earnings relationship. It examines the joint effect of teacher education and pupil-teacher ratios on 1990 earnings using NLSY data. It finds some evidence of non-linearities in...

Zellner and Ryu examined several popular specifications of elasticity of scale that characterizes production functions. This note goes further by combining these functional forms and proposing a model-averaged estimator of elasticity of scale. The methodology used in Bayesin Model Averaging, and...

Eutectic molten salt can be used as the latent thermal energy storage (LTES) medium in solar energy applications. In the present study, eutectic salt (50wt% NaNO3, 50wt% KNO3) with a melting temperature of about 220°C was employed as the PCM for the middle-temperature solar energy application,...

Two different working pairs, one of them activated carbon–methanol and the other activated carbon–ethanol, are used in a solar ice maker to determine ice production and refrigerant criteria in desorption and adsorption processes under similar radiation energy and environmental conditions....

A uniform pressure model is presented to describe the heat and mass transfer in an adsorbent bed for a flat plate solar ice maker. This model accounts for heat and mass transfer in a porous bed in a two-dimensional transient process. An experiment has been conducted to validate this model and...

Based on the heat and mass transfer model validated by experiment, the performance of the plate solar ice-maker is analyzed systemically with the opinion of two-type characteristic parameters, which includes parametric effects of adsorbent bed of solar ice-maker and outer parameters referring to...

In the context of convex mixed integer nonlinear programming (MINLP), we investigate how the outer approximation method and the generalized Benders decomposition method are affected when the respective nonlinear programming (NLP) subproblems are solved inexactly. We show that the cuts in the...

In this study, an inventory-theory-based inexact chance-constrained multi-stage stochastic programming (IB-ICCMSP) model under multi-uncertainties is developed. IB-ICCMSP integrates inventory theory into an inexact chance-constrained multi-stage stochastic optimization framework. This method can...

This paper developed a stochastic linear fractional programming model for industry optimization allocation base on the uncertainty of water resources incorporating chance constrained programming and fractional programming. In this paper, the stochastic linear fractional programming is used in...