Population

Mathematics

Poisson sampling

Nonprobability sampling

Snowball sampling

Statistics

Filter (signal processing)

Sampling (signal processing)

Slice sampling

Systematic sampling

Simple random sample

Cluster sampling

Monte Carlo method

Lot quality assurance sampling

Probability sampling

Computer science

Importance sampling

Computer vision

Stratified sampling

Medicine

Sampling design

Environmental health

Journal of the Practice of Cardiovascular Sciences

Sampling is one of the most important factors which determines the accuracy of a study. This article review the sampling techniques used in research including Probability sampling techniques, which include simple random sampling, systematic random sampling and stratified random sampling and Non-probability sampling, which include quota sampling, self-selection sampling, convenience sampling, snowball sampling and purposive sampling.

Types of sampling in research