Section of faculty, students and alumni oppose MoSPI's draft Bill that seeks to replace Indian Statistical Institute's ...

Many healthcare providers feel that UPIC audits often fall short, with flawed sampling and extrapolation techniques that dramatically exaggerate overpayment findings, exposing providers to undue ...

Non-probability sampling design can be used in ethnobotanical surveys of medicinal plants. However, this method does not allow statistical inferences to be made from the data generated. The aim of ...

If you’ve been to Random Sample to see an art exhibition, or watch a live band, or even participate in a book club, you know just where to find its original home. It’s a white cinderblock building ...

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing ...

ABSTRACT: Singh, Gewali, and Khatiwada proposed a skewness measure for probability distributions called Area Skewness (AS), which has desirable properties but has not been widely applied in practice.

No universal definition of a small sample size has been established and the concept of small depends on the type of statistical analysis. Studies with small sample sizes can be associated with ...

Random sampling analysis method, vector illustration example... Random sampling analysis method, vector illustration example diagram. Unbiased choosing people sample from the crowd. Population ...

LiDAR point cloud sparsity and distance-dependent long-tailed distributions make Random Sampling less suitable for this scenario. To alleviate this problem, we propose Polar Cylinder Balanced Random ...

Importance: The United States (US) Medicare claims files are valuable sources of national healthcare utilization data with over 45 million beneficiaries each year. Due to their massive sizes and costs ...