Stratified random sampling is a method of sampling that divides a population into smaller groups that form the basis of test samples.

A simple random sample is a subset of a statistical population where each member of the population is equally likely to be chosen.

Systematic random sampling controls the distribution of the sample by spreading it throughout the sampling frame or stratum at equal intervals, thus providing implicit stratification. You can use the ...

Random sampling schemes satisfy the conditions for ignoring the selection mechanism in a model-based approach to inference in an observational study, such as a sample survey. In many studies ...

A comparison of the three sampling methods shows that stratified random sampling is an efficient method that guarantees a sample which is proportional to the extension of the environmental types. We ...