JSTOR Daily

Optimum Allocation in Stratified Random Network Sampling for Estimating the Prevalence of Attributes in Rare Populations

This work considers estimation of dichotomous characteristics of rare populations by sample survey. In particular, we investigate optimum allocation when a network sampling rule (also called ...
JSTOR Daily

Use of the Generalized Variance and the Gradient Projection Method in Multivariate Stratified Sampling

The authors advocate the use of the generalized variance of the sample means-the determinant of the variance-covariance matrix $D(\overline{y})$ of the means-as a ...
Investopedia

Simple Random Sample vs. Stratified Random Sample: What’s the Difference?

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 ...
Simon Fraser University

PPS Sampling without Replacement

If you specify the option METHOD=PPS, PROC SURVEYSELECT selects units with probability proportional to size and without replacement. The selection probability for unit i in stratum h equals n h Z hi .
Simon Fraser University

PPS Systematic Sampling

If you specify the option METHOD=PPS_SYS, PROC SURVEYSELECT selects units by systematic random sampling with probability proportional to size. Systematic sampling selects units at a fixed interval ...