BACKGROUND Community-based health insurance (CBHI) is becoming a prominent and promising concept in tackling financial health care issues confronting the poor rural communities in developing countries. Ethiopia endorsed and constituted CBHI schemes in 13 pilot "woredas" in 2010/11. This study aimed to assess the compliance of the community to CBHI scheme requirements in Thehuledere district, no...

Software reliability testing provided the necessary guarantee for improving software reliability level and estimation. The traditional method for generating software reliability test cases could be seen as a simple random sampling, which was randomly choosen according to the operational profile defined by Musa. The stratified sampling was well known as a complex but more accurate sampling appro...

Abstract We1 develop Conditional Random Sampling (CRS), a technique particularly suitable for sparse data. In large-scale applications, the data are often highly sparse. CRS combines sketching and sampling in that it converts sketches of the data into conditional random samples online in the estimation stage, with the sample size determined retrospectively. This paper focuses on approximating p...

gholamreza khoshfar mahbobeh ilvari date of receive: 2014/12/9date of accept: 2015/5/11abstractthe present study was conducted to identify the relationship between religiosity and marital adjustment. since religion influences family relationships and regarding the fact that in the present conditions the strength of religious values in the family is one of the goals of our islamic society, condu...

Data structures for efficient sampling from a set of weighted items are an important building block many applications. However, few parallel solutions known. We close these gaps. give efficient, fast, and practicable distributed algorithms data that support single (alias tables, compressed structures). This also yields simplified more space-efficient sequential algorithm alias table constructio...

We show that a simple, general, and easily reproducible method for generating non-uniform sampling (NUS) schedules preserves the benefits of random sampling, including inherently reduced sampling artifacts, while removing the pitfalls associated with choosing an arbitrary seed. Sampling schedules are generated from a discrete cumulative distribution function (CDF) that closely fits the continuo...