the empowerment of women has been widely acknowledged as an important goal in international development. the main aim of this study was to investigate empowerment levels and rate among the members of tafihan rural women’s association.those who were subject to research consisted of all members of the tafihan women’s association (418 members), out of which, a total number of 200 members were sele...

The CV-S method is a high-efficiency random sampling to estimate statistical moments of variables, and it uses an approximated target parameter which are linearly dependent on input as mockup parameter. In order enhance the applicability method, we propose use different from but similar whose sensitivity coefficients available. present work, nuclear fuel burnup problems concerned, standard devi...

-The present paper deals with a modification on the selection of linear systematic sample of odd size. Consequently the proposed method is called modified linear systematic sampling. The performances of the modified linear systematic sampling are assessed with that of simple random sampling and linear systematic sampling for certain hypothetical populations. As a result, it is observed that the...

Subset Simulation is an adaptive simulation method that efficiently solves structural reliability problems with many random variables. The method requires sampling from conditional distributions, which is achieved through Markov Chain Monte Carlo (MCMC) algorithms. This paper discusses different MCMC algorithms proposed for Subset Simulation and introduces a novel approach for MCMC sampling in ...

As indicated in Bookstein’s introduction [l] sampling is one of the most heavily used methodologies in library research. Moreover, sampling in libraries is not confined to library research alone: also other disciplines occasionally use this technique for research purposes. In this paper we will give a new and complete proof that Fussler’s sampling technique is always better than sampling by len...

In this paper, two methods are proposed which address the random sampling and compressed sensing recovery problems. The proposed random sampling recovery method is the Iterative Method with Adaptive Thresholding and Interpolation (IMATI). Simulation results indicate that the proposed method outperforms existing random sampling recovery methods such as Iterative Method with Adaptive Thresholding...