When small data beats big data

Julian J. Faraway and Nicole H. Augustin

Statistics & Probability Letters, 2018, vol. 136, issue C, 142-145

Abstract: Small data is sometimes preferable to big data. A high quality small sample can produce superior inferences to a low quality large sample. Data has acquisition, computation and privacy costs which require costs to be balanced against benefits. Statistical inference works well on small data but not so well on large data. Sometimes aggregation into small datasets is better than large individual-level data. Small data is a better starting point for teaching of Statistics.

Keywords: Big data; Small data (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (8)

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DOI: 10.1016/j.spl.2018.02.031

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