Present work is an attempt to describe the socio-economic status of homeless people. It was conducted in Bahir Dar city of Amhara region with objectives to identify demographic characteristics and socio-economic status of the homeless population, and to describe problems faced by homeless people. On basis of random sampling four kebeles were selected where using purposive sampling 120 homeless ...

to empower the farmer villagers, execution of training programs including semi-presence training, open training and virtual training is essential. the main purpose of the present research is to determine the factors affecting the enabler trainings to farmer villagers with an emphasis on the component of culture and education technology using the interpretative structural modeling together with ...

This paper considers large-scale multistage stochastic linear programs. Sampling is incorporated into the nested decomposition algorithm in a manner which proves to be significantly more efficient than a previous approach. The main advantage of the method arises from maintaining a restricted set of solutions that substantially reduces computation time in each stage of the procedure. Dedicated t...

Random equivalent sampling (RES) can composite a waveform with high equivalent sampling rate from multiple low speed sampling sequences. In practical application, the performance of RES signal reconstruction would be degraded by the non-uniform distribution of sampling time. Compressed sensing (CS) theory is adopted to reconstruct RES samples, which could mitigate the inherent coherence of samp...

Purpose: This study was conducted to provide an appropriate model to enhance teachers' motivation for the education process. Method: The research method was applied in terms of purpose and exploratory in terms of method. In the qualitative stage, the grounded theory and content analysis method was used and in the quantitative stage, the survey method was used. The qualitative part of the resea...

We propose a new Metropolis-Hastings algorithm for sampling from smooth, unimodal distributions; a restriction to the method is that the target be optimizable. The method can be viewed as a mixture of two types of MCMC algorithm; specifically, we seek to combine the versatility of the random walk Metropolis and the efficiency of the independence sampler as found with various types of target dis...

Abstract Simple random-sampling resolutions of the raven paradox relevantly diverge from scientific practice. We develop a stratified model, yielding better fit and apparently rehabilitating simple random sampling as legitimate idealization. However, neither accommodates second concern, objection potential bias. third model that crucially invokes causal considerations, novel resolution handles ...

We propose a jackknife variance estimator for the population average from two, two-phase samples after imputation. The jackknife method has long been used to estimate and reduce bias, but has now become a valuable tool for variance estimation. We apply two different sampling methods, (simple random sampling and stratified random sampling) to derive jackknife variance estimators for the twosampl...