Groundwater, a special hydrological variable and freshwater resource is completely inter-reliant with hydro-metorological, topographic, land use and hydro-geological components of hydrologic cycle. Trend of hydrologic componentsfor future prediction is attempted to confer in this study using Man-Kendall test, linear regression and geometric progression analysis on recorded data collected from r...

The aim of a probabilistic resource analysis is to derive a probability distribution of possible resource usage for a program from a probability distribution of its input. We present an automated multiphase rewriting based method to analyze programs written in a subset of C. It generates a probability distribution of the resource usage as a possibly uncomputable expression and then transforms i...

Long-term demand forecasting presents the first step in planning and developing future generation, transmission and distribution facilities. One of the primary tasks of an electric utility accurately predicts load demand requirements at all times, especially for long-term. Based on the outcome of such forecasts, utilities coordinate their resources to meet the forecasted demand using a least-co...

structural characteristics and spatial distribution of major farming systems in mountain environment of the iranian plateau as well as their developments in the past few decades have been studied by statistical analysis. using this new approach, towards the study of natural resource allocation methods in mountains of iran, the following resulted: land and resource use practices have followed a ...

Sometime it is difficult to determine the exact reliability for complex systems in analytical procedures. Approximate solution of this problem can be provided through discretization of random variables. In this paper we describe the usefulness of discretization of a random variable using the reversed hazard rate function of its continuous version. Discretization of the exponential distribution ...

When the rate variation among sites is described by a gamma distribution, an important problem is how to estimate the shape parameter 01, which is an index of the degree of among-site rate variation. The parsimony-based methods for estimating (Y are simple but biased, i.e., (Y tends to be overestimated. On the other hand, the likelihood-based methods are asymptotically unbiased but take a huge ...