JSTOR Daily

On Comparisons of With and Without Replacement Sampling Strategies for Estimating Finite Population Mean in Randomized Response Surveys

Sankhyā: The Indian Journal of Statistics, Series B (2008-), Vol. 78, No. 1 (May 2016), pp. 66-77 (12 pages) We consider the problem of unbiased estimation of a finite population mean (or proportion) ...

Simple vs. Stratified Random Sampling: Key Differences Explained

Learn the distinctions between simple and stratified random sampling. Understand how researchers use these methods to accurately represent data populations.
Kellogg School of Management

Two Technical Details

(1) Simple random sampling is usually done without replacement (so there is no chance of the same individual appearing twice in the sample). In this case, there is a ...
Simon Fraser University

PROC SURVEYSELECT Statement

The PROC SURVEYSELECT statement invokes the procedure and optionally identifies input and output data sets. If you do not name a DATA= input data set, the procedure selects the sample from the most ...
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 ...