Atmospheric cloud condensation nuclei (CCN) concentrations are a key uncertainty in the assessment of the effect of anthropogenic aerosol on clouds and climate. The ability of new ultrafine particles to grow to become CCN varies throughout the atmosphere and must be understood in order to understand CCN formation. We have developed the Probability of Ultrafine particle Growth (PUG) model to ans...

In recent years, wind energy has a remarkable growth in the world, but one of the important problems of power generated from wind is its uncertainty and corresponding power. For solving this problem, some approaches have been presented. Recently, the Artificial Neural Networks (ANN) as a heuristic method has more applications for this propose. In this paper, short-term (1 hour) and mid-term (24...

Stress in financial markets influences economic agents’ behavior by creating uncertainty and changing the expectations. Critical financial stress can lead to financial crisis. Financial crises are among the events always present in the world economy. Iran is not an exception. This paper aims to study the impact of financial stresses on Iran’s per capita GDP. By using ARDL (Auto Regressive Distr...

The cornerstone of one-sector optimal economic growth models is the existence and stability of a steady-state solution for optimal consumption policies. The optimal consumption policy is the stable branch of the saddle point solution of the system of differential equations governing the dynamics of the economy. Examples of this type of behavior can be found in Cass [2] and Koopmans [4]. However...

In this review paper we consider physiologically structured population models that have been widely studied and employed in the literature to model the dynamics of a wide variety of populations. However in a number of cases these have been found inadequate to describe some phenomena arising in certain real-world applications such as dispersion in the structure variables due to growth uncertaint...

This study focuses on the analysis of the production behavior and risk preferences in the presence of output price uncertainty. Following a theoretical model based on the assumption of maximization of expected utility of profits, the approach used in this study infers information about risk preferences from the production characteristics of the farm. In addition, the nonparametric method of est...

Although per capita rates of increase (r) have been calculated by population biologists for decades, the inability to estimate uncertainty (variance) associated with r values has until recently precluded statistical comparisons of population growth rates. In this study, we used two computerintensive techniques, Jackknifing and Bootstrapping, to estimate bias, standard errors, and sampling distr...