It means more efficient logistics and removes some of the human bias that may be there with simple random sampling.

In the second stage, simple random sampling is usually used.

This method assumes that the 'true' residual distribution is symmetric and can offer advantages over simple residual sampling for smaller sample sizes.

Exchangeable sequences of random variables arise in cases of simple random sampling.

This process and technique is known as simple random sampling, and should not be confused with random sampling.

The principle of simple random sampling is that every object has the same possibility to be chosen.

Conceptually, simple random sampling is the simplest of the probability sampling techniques.

Then simple random sampling or systematic sampling is applied within each stratum.

It is the mathematically optimal compromise between simple random sampling and strong profiling that most quickly finds a rare malfeasor, given fixed screening resources.

This makes systematic sampling functionally similar to simple random sampling.