Cluster sampling is a sampling technique used in statistics and research methodology. It involves dividing a population into clusters or groups and randomly selecting some of these clusters for ...

Cluster sampling divides a population into smaller clusters, simplifying large-scale research. Cluster sampling is a probability sampling method where researchers divide a population into smaller ...

📊 Ethiopia DTM Round 39 – Sampling and Site Selection (Note That the data is Not available here because of Data Protection) This repository contains Python scripts and Jupyter notebooks for the ...

This paper introduces the principle of PPS-based adaptive cluster sampling method and its modified HH estimator and HT estimator calculation method. It compares PPS-based adaptive cluster sampling ...

Abstract: Federated learning (FL) is an innovative privacy-preserving machine learning paradigm that enables clients to train a global model without sharing their local data. However, the coexistence ...

Ali Hussain has a background that consists of a career in finance with large financial institutions and in journalism covering business. Vikki Velasquez is a researcher and writer who has managed, ...

Department of Mathematics, Faculty of Science, Mahasarakham University, Maha Sarakham, Thailand. Figure 1 illustrates the example of a network. The unit with a star is the initial unit selected. The ...