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 ...
EDN

An Introduction to the Sampling Theorem

With rapid advancement in data acquisition technology (i.e.analog-to-digital and digital-to-analog converters) and the explosive introduction of micro-computers, selected complex linear and nonlinear ...
Investopedia

Understanding Statistical Samples: A Guide to Sampling Techniques

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
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 ...