Application of Balanced Incomplete Block Design in ps Sampling Without Replacement
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Date
2007-07
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Addis Abeba university
Abstract
In this study a procedure for selecting a sample of size n with probability
proportional to size without replacement was proposed. This procedure used the
combinatorial properties of balanced incomplete block design.
An application of this procedure has been illustrated by using secondary data,
obtained from National Labour Survey conducted in 2005 by Central Statistical
Agency of Ethiopia.
Further, the variance of the estimated total unemployed population was
compared by using Horvitz-Thompson (1952) and Sen –Yates- Grundy (1953)
estimators. The result suggests that, variance due to Sen-Yates –Grundy is
better estimator than Horvitz-Thompson .
In addition, I would like forward that up to date investigation in the work of
application of balanced incomplete block design in pps sampling without
replacement at national and/or regional level is important in minimizing cost at
large.
Researchers who try to examine the application of BIBD in pps sampling without
replacement in the further have to take into account those variables other than
unemployed population
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Keywords
Balanced Incomplete