It is common knowledge that the accuracy with which computer simulations can depict physical events depends strongly on the choice of the mathematical model of the events. Perhaps less appreciated is the notion that the error due to modeling can be defined, estimated, and used adaptively to control modeling error, provided one accepts the existence of a base model that can serve as a datum with...

The change of land use/land cover has been known as an imperative force in environmental alteration, especially in arid and semi-arid areas. This research was mainly aimed to assess the validity of two major types of land change modeling techniques via a three dimensional approach in Birjand urban watershed located in an arid climatic region of Iran. Thus, a Markovian approach based on two suit...

We present a maximum entropy approach to topic sensitive language modeling. By classifying the training data into di erent parts according to topic, extracting topic sensitive unigram features, and combining these new features with conventional N-grams in language modeling, we build a topic sensitive bigram model. This model improves both perplexity and word error rate. keywords: maximum entrop...

Many variations exist of yield curve modeling based on the exponential components framework, but most do not consider the generating process of the error term. In this paper, we propose a method of yield curve estimation using an instantaneous error term generated with a standard Brownian motion. First, we add an instantaneous error term to Nelson and Siegel’s instantaneous forward rate model [...

T he purpose of this paper is the evaluation of suitability ofspatial error STAR model for modeling convergence of social welfare of Iran's provinces between 2000 and 2013. In this paper the LM tests show that the non-linear method is appropriate for convergence evaluation. In addition, the results indicate that 2 groups of provinces are separable: group 1 in which the social welfare...

since direct experimental evidence is not available, this must be verified through a modeling approach, providedadequate data be available. many statistical methods are used to study the relation between independent anddependent variables.this research was carried out at the western part of jazmurian basin tlocated in the southeast ofiran. in this paperused ten physical characteristics such as ...

this study is focused on developing an integrated optimization-simulation based genetic algorithm model (iosga) to develop the operational policies for a multi-purpose reservoir system. the objective function of the optimization model is considered to be a linear function of reliability (rel), resiliency (res), and vulnerability (vul) of the river-reservoir system. genetic algorithm (ga) is emp...

the objective of this study was to simulate carbon monoxide (co) dispersion exited from the stacks of a cement industry in doroud, iran by gaussian model (gm). four sampling period was conducted for the measurement of co from the factory's three-stack flow during a period of one year. the input parameters were the rate of co emission, meteorological data,  factors related to the stack, and...