A great caution must be taken when considering variance
estimation in systematic sampling. A danger in systematic
sampling is that the characteristics being studied may have a
certain pattern or periodicity in the list .On Census record
sheets, for example, the first names on the sheets tend to be
above average in income or rental value, for instance corner
houses tends to have a higher rental value than houses in the
middle of the block.
Used widely in surveys of finite population, this method
picks up any obvious or hidden stratification in the
population when used properly. It can be regarded as a
random selection of one cluster; however, it is not always
possible to obtain an unbiased or even consistent estimator of
the design variance. Hence, biased estimators of variance
must be sought if we are to estimate the precision of our
investigation or survey estimators from the sample itself,
(Kirk, 1984).
A great caution must be taken when considering varianceestimation in systematic sampling. A danger in systematicsampling is that the characteristics being studied may have acertain pattern or periodicity in the list .On Census recordsheets, for example, the first names on the sheets tend to beabove average in income or rental value, for instance cornerhouses tends to have a higher rental value than houses in themiddle of the block.Used widely in surveys of finite population, this methodpicks up any obvious or hidden stratification in thepopulation when used properly. It can be regarded as arandom selection of one cluster; however, it is not alwayspossible to obtain an unbiased or even consistent estimator ofthe design variance. Hence, biased estimators of variancemust be sought if we are to estimate the precision of ourinvestigation or survey estimators from the sample itself,(Kirk, 1984).
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