This work explores the use of statistical techniques, namely stratified sampling and cluster analysis, as powerful tools for deriving traffic properties at the flow level. Our results show that the adequate selection of samples leads to significant improvements allowing further important statistical analysis. Although stratified sampling is a well-known technique, the way we classify the data p...

This study examines technical efficiency between Participatory & NonParticipatory farmers under Integrated Crop Management project (ICM) in the north-west region of Bangladesh. Sixty farmers of which 30 participatory & 30 nonparticipatory were selected following stratified random sampling technique from four villages under pirganj upazila in Thakurgaon district. ICM project participatory farmer...

The purposes of this study were to present a conceptual model for selection into the early childhood profession and to test the model using contemporaneous assessments. A stratified random sample of center-based child care providers in 4 Midwestern states (n = 964) participated in a telephone interview, and 223 were also assessed with the Early Childhood Environment Rating Scale—Revised or the ...

Background: Visual evoked potential (VEP) is regarded as a useful, reliable and non-invasive technique for the diagnosis of lesions in the optic pathway. This technique was used to investigate visual function in migraine. Materials and Methods: 53 migraine patients (27 migraine cases with aura and 26 common migraine cases) and 55 controls were prospectively enrolled in this study. Visual evoked...

This paper provides an updated review of Monte Carlo simulation. The use of random sampling, its consequences in simulation, the use of descriptive sampling, its advantages, its limits and its improvement upon the precision of simulation estimates: Refined descriptive sampling. This state of the art gives also an insight into other sampling procedures used in the literature, like Ranked set sam...