Investopedia

How Stratified Random Sampling Works, With Examples

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Investopedia

Advantages of Simple Random Sampling in Research

Greg DePersio has 13+ years of professional experience in sales and SEO and 3+ years as a writer and editor. Robert Kelly is managing director of XTS Energy LLC, and has more than three decades of ...
Nature

A new auxiliary variables-based estimator for population distribution function under stratified random sampling and non-response

Survey sampling is a statistical technique used to collect data from a subset of a larger population to draw conclusions about the entire population. By sampling, researchers can make inferences based ...
Nature

Log-ratio type estimation for the finite population mean under simple random sampling without replacement with theory, simulation and application

We propose two novel logarithmic ratio–type estimators for the finite-population mean under simple random sampling without replacement (SRSWOR). The estimators integrate a logarithmic transformation ...