Sampling is a statistical method that involves selecting a set number of random observations from a larger population for analysis.

This project demonstrates comprehensive HR analytics capabilities through the analysis of employee attrition data using SQL, Python, and Excel. The analysis identifies key patterns and trends in ...

In this article, we study the problem of selecting a subset with the best of a finite number of alternatives under a fixed simulation budget. Our work aims to maximize the posterior probability of ...

CVPR 2022: RSCFed: Random Sampling Consensus Federated Semi-supervised Learning Introduction This is the official PyTorch implementation of CVPR 2022 paper "RSCFed: Random Sampling Consensus Federated ...

Two types of sampling plans are examined as alternatives to simple random sampling in Monte Carlo studies. These plans are shown to be improvements over simple random sampling with respect to variance ...

Analysis of longitudinal studies is often complicated through differences amongst individuals in the number and spacing of observations. Laird and Ware (1982, Biometrics 38, 963-974) proposed a linear ...

This requires an appropriate machine learning algorithm to select the significant features from these large datasets. Therefore, in this study, we use a supervised method based on a Random Forest to ...

Futsal, a high-intensity sport, places considerable demands on the hip adductors and core musculature, often resulting in ...

Visitors from outside Ohio often express surprise that such world-class cheese and transcendent donuts come from the Buckeye State rather than more famous culinary destinations. This reaction speaks ...