Unsurprisingly, the Native American populations, and especially the Utah sample, were commonly classified as another Native American population, as would be predicted if basicranial shape reflects genetic relatedness.
Cluster sampling is commonly used in fishery-dependent and -independent surveys.
Cluster sampling is commonly used since it does not require a sampling frame which lists all the individual enumeration units.
Traffic sampled from the network backbone using uniform packet sampling is commonly utilized to detect heavy hitters, estimate flow level statistics, as well as identify anomalies like DDoS attacks and worm scans.
Thus, clustered sampling is commonly applied in large scale surveys in which researchers have operational restrictions for recruiting and collecting data (Bennett et al. 1991; Roberts et al. 2004; Eldridge et al. 2006).
In addition to the data collection procedures, establishment of the relationship among the collected samples is commonly recognized as another significant issue in such a scenario, i.e., constructing the 'context' information [2].
The development of molecular methods for age estimation allowing to use human specimens that possess no morphological age information, such as bloodstains, is extremely valuable as this type of samples is commonly found at crime scenes.
Although stratified sampling is commonly used to organize the units of observation naturally distributed over non-overlapped strata, such as geographical regions (Thompson 2012), the expected overlapping of subjects in the context of social networks groups can suggest some affinity among them, supporting the re-organization of the sampling frame into a smaller set of groups.
Snowball sampling is commonly used where expert knowledge is the prerequisite for inclusion in a sample.
Twenty-four-hour urinary free cortisol (UFC) sampling is commonly used to evaluate Cushing's syndrome.
