Representative sampling and random sampling are two techniques ... these two methods allow for greater confidence in making statistical inferences from the sample in regard to the larger group.

Non-probability samples provide a challenging source of information for official statistics, because the data generating mechanism is unknown. Making inference from such samples therefore requires a ...

Stratified random sampling divides the overall population ... However, samples must resemble the broader population to make accurate inferences or predictions. All the participants in the sample ...

However, HV1 sequences are not amenable to demographic inference, and we utilized our random samples of complete mtDNA genome sequences to estimate population size change over time and pairwise ...

Non-probability samples provide a challenging source of information for official statistics, because the data generating mechanism is unknown. Making inference from such samples therefore requires a ...