Judged: two independent readers; copy check clear.

sampling variability

sampling variability Sampling variability is the variation in results or parameter estimates that occurs because they are calculated from a particular sample of data.

Sampling variability is the variation in results or parameter estimates that occurs because they are calculated from a particular sample of data. In this packet, it is described as a source of impact on how robust and efficient statistical estimates are.

Sources

Drafting source: Helu Amal. The principle of maximum entropy and the probability-weighted moments for estimating the parameters of the Kumaraswamy distribution. 2022; DOI 10.1371/journal.pone.0268602; article XML SHA-256 cb50bb8a90e48b96a915c1c6b55dbf88629b9a0cfd1edbf0599dcd9b65e6472a. “The principle of maximum entropy and the probability-weighted moments for estimating the parameters of the Kumaraswamy distribution” (10.1371/journal.pone.0268602).
CC-BY-4.0 · Definition uses new wording; original source retains its stated licence. · Source snapshot SHA-256: cb50bb8a90e48b96a915c1c6b55dbf88629b9a0cfd1edbf0599dcd9b65e6472a

These citations identify the drafting sources. 2/2 independent reader passes against the pinned source packet. The drafter does not count as a reader. Source institutions do not endorse this dictionary.

Cite this entry

PsychTerms (psychterms.org), CC BY 4.0, version 2. “sampling variability.” Development preview.

Version 2 · SHA-256: 0d91437d3e704f4fc874ebf9053faa7697da72b2353d261055b6689a2197bd43

Edit this entry on GitHub

sampling variability

See also

Sources

Cite this entry