Assessment of result precision and estimation methods
Methods for evaluating the precision of estimates
Each sample survey involves the need to determine precision of the estimates. Precision estimator may take the form of a function depending on data collected in the survey and adopted sampling scheme.
Metody resamplingowe (np. bootstrap)
In simpler cases, we can estimate variance of the estimator by substituting survey data into specific analytical formulas. In more complex cases, i.e. where we deal with more complicated estimator, e.g. quantile thresholds, Gini index, it may be necessary to use the so-called resampling methods in which subsamples are repeatedly drawn from a set of sample elements and, based on the variation of the estimator for these subsamples, parameters of distribution of the estimator from the sample (e.g. variance) are estimated. The most commonly used resampling method for variance estimation is the bootstrap method.