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 ...
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 ...
Investopedia

Simple vs. Stratified Random Sampling: Key Differences Explained

Mary Hall is a editor for Investopedia's Advisor Insights, in addition to being the editor of several books and doctoral papers. Mary received her bachelor's in English from Kent State University with ...
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 ...