probabilistic sampling

probabilistic sampling

[‚präb·ə′lis·tik ′sam·pliŋ]
(statistics)
A process in which the laws of probability determine which elements are to be included in a sample.
References in periodicals archive ?
KN will sample young adults using ABS exclusively; for Hispanics, KN will replace the use of surname lists with probabilistic sampling methods (ABS sampling supplemented with RDD sampling).
Two sampling strategies are recommended for sampling Class 3 zones: a purely probabilistic sampling approach and a combined judgmental and random (probabilistic) approach (CJR).
However, because the two purely probabilistic sampling designs were applied to the entire 1st floor and the entire 2nd floor, the possible cleanliness of smaller areas on those floors could not be readily quantified with X %/Y % confidence statements.
Purely probabilistic sampling also identified contaminated areas.
Usually, textbooks or papers about the research methodology would recommend probabilistic sampling methods in order to reduce sampling bias or errors.
In the absence of a probabilistic sampling, principles of statistics dictate that one should not generalize beyond the sample (Bernard, 1995, p.
ImageTree has demonstrated a commitment to excellence in probabilistic sampling, fieldwork and imagery analysis that will enhance our understanding of our forest's attributes.
The ImageTree platform leverages advanced remote sensing technology, automated feature extraction, ground-truthing systems and probabilistic sampling methodologies to provide the most accurate, rapid and cost-effective inventories available.
Probabilistic sampling methodology that allows for enhanced precision for selected portions of forest.
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