purpose: this study aimed to measure the information load of words in farsi scientific texts and determine the relationship between some properties of the words and information load of the texts based on shannon entropy. methodology: the study was conducted based on the content analysis of a number of 320 articles that were published in scientific-research iranian journals in 2009. and the arti...

abstract:   introduction: due to the importance of influenza type a (h1n1) as an epidemic disease as well as the type of educational method applied, this study investigated the effects of educational workshop method on students' influenza type a (h1n1)-related knowledge.   methods: in this quasi-experimental study 67 undergraduate students in school of health, isfahan university of medical scie...

Snowball sampling, as a network research, has number of advantages in registering “hidden populations”, such as: people with rare diseases and unrecognized by the community, illegal immigrants, drug users, deviant sexual behavior, undeclared workers, alcoholics, gambling or computer addicts, unemployed jobseekers, domestic school violence, etc. The procedure is well known widely applied, are it...

Many quantitative problems in science, engineering, and economics are nowadays solved via statistical sampling on a computer. Such Monte Carlo methods can be used in three different ways: (1) to generate random objects and processes in order to observe their behavior, (2) to estimate numerical quantities by repeated sampling, and (3) to solve complicated optimization problems through randomized...

We propose C-NORTA, an exact algorithm to generate random variates from the tail of a bivariate NORTA random vector. (A NORTA random vector is specified by a pair of marginals and a rank or product-moment correlation, and is sampled using the popular NORmal-To-Anything procedure.) At the core of this method lies the question of sampling from a piecewise-linear connected region in the tail of a ...

Sequential sample selection methods are distinguished from conventional methods in the manner in which random numbers are used to determine the sample. Conventionally, a sample of size n is selected from a sampling frame of N sampling units by selecting n random numbers and mapping then into n of the labels in the sampling frame. Sequential methods require each sampling unit in the sampling fra...

This paper presents a stochastic iteration algorithm solving the global illumination problem, where the random sampling is governed by classical importance sampling and also by the Metropolis method. Point pairs where radiance transfer takes place are obtained with random ray shooting. Ray shooting can mimic the source radiance and the geometric factor, but not the receiving capability of the t...

When estimating how much better a classifier is than random allocation in Q-class ROC analysis, we need to sample from a particular region of the unit hypercube: specifically the region, in the unit hypercube, which lies between the Q− 1 simplex in Q(Q− 1) space and the origin. This report introduces a fast method for randomly sampling this volume, and is compared to rejection sampling of unifo...