Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/83776
Authors: 
Padilla, Alberto
Year of Publication: 
2009
Series/Report no.: 
Working Papers, Banco de México 2009-13
Abstract: 
Systematic sampling is a commonly used technique due to its simplicity and ease of implementation. The drawback of this simplicity is that it is not possible to estimate the design variance without bias. There are several ways to circumvent this problem. One method is to suppose that the variable of interest has a random order in the population, so the sample variance of simple random sampling without replacement is used. By means of a mixed random - systematic sample, an unbiased estimator of the population variance for simple random sample is proposed without model assumptions. Some examples are given.
Subjects: 
Variance estimator
Systematic sampling
Simple random sampling
Random order
JEL: 
C80
C83
Document Type: 
Working Paper
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