In this paper, we introduce a novel, general purpose, technique for faster sampling of nodes over an online social network. Specifically, unlike traditional random walks which wait for the convergence of sampling distribution to a predetermined target distribution a waiting process that incurs a high query cost we develop WALK-ESTIMATE, which starts with a much shorter random walk, and then pro...

Born from empirical observations in nonuniformly sampled multidimensional NMR data relating to gaps between sampled points, the Poisson-gap sampling method has enjoyed widespread use in biomolecular NMR. While the majority of nonuniform sampling schemes are fully randomly drawn from probability densities that vary over a Nyquist grid, the Poisson-gap scheme employs constrained random deviates t...

We look at the benefits of using a kind of quasi-random numbers to obtain more accurate results for a given number of simulation runs. We explore a sampling method with enhanced independence in multidimensional simulations by combining the ideas of stratified sampling and Latin Hypercube sampling. We test the new sampling method by comparing it with traditional stratified sampling and Latin Hyp...

A method based on multicanonical Monte Carlo is applied to the calculation of large deviations in the largest eigenvalue of random matrices. The method is successfully tested with the Gaussian orthogonal ensemble, sparse random matrices, and matrices whose components are subject to uniform density. Specifically, the probability that all eigenvalues of a matrix are negative is estimated in these...

This study examines the efficiency of EPI cluster sampling in assessing the prevalence of diarrhoea and dysentery. A computer was used to simulate fieldwork carried out by a survey taker. The bias and variance of prevalence estimates obtained using EPI cluster sampling were compared with those obtained using simple random sampling and cluster (stratified random) sampling. Efficiency ratios, cal...

The purpose of this paper is to find the estimate of the parameters of k and g   distribution for ranked set sample by numerically maximizing the likelihood function. The estimates named as numerical maximum likelihood estimate, and corresponding mean square error and relative efficiency compared to simple random sampling are computed using a computer simulation. Ranked set sampling is seen t...

this research was carried out through a descriptive-correlation method with the purpose of analyzing the attitude of agricultural students toward group learning and the factors affecting it. the research population consisted of the agricultural students at agricultural college of the razi university (n=793) from whom a sample of 196 students were selected through bartlett's table and by ra...

the purpose of this study was to compare symptoms of ptsd among war affected people and employees in the fire station. totally, 60 people affected by war and 60 fire workers were selected using simple random sampling. by completing pcl inventory, samples of ptsd were characterized. data was analysed through spss software by independent t-test. as the results showed, severity of ptsd symptoms am...