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Non-sampling error

In statistics, non-sampling error is a catch-all term for the deviations of estimates from their true values that are not a function of the sample chosen, including various systematic errors and random errors that are not due to sampling. Non-sampling errors are much harder to quantify than sampling errors.

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Non-sampling error

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Non-sampling error

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Non-sampling error → catch-all term for the deviations of estimates from their true values that are not a function of the sample chosen

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non-sampling errors error sampling estimates values sample due statistics pseudo-opinions imputation catch-all term deviations true function chosen including various systematic

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SubjectPredicateObjectConfidenceSrc
Non-sampling erroris acatch-all term for the deviations of estimates from their true values that are not a function of the sample chosen0.90text
Kaltoninstance ofor imputation of values for missing or inconsistent data.An excellent discussion of issues pertaining to non-sampling error can be found in several sources0.80text

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