Application Of Balanced Incomplete Block Design In Ps Sampling Without Replacement

In this study a procedure for selecting a sample of size n with probabilityrnproportional to size without replacement was proposed. This procedure used therncombinatorial properties of balanced incomplete block design.rnAn application of this procedure has been illustrated by using secondary data,rnobtained from National Labour Survey conducted in 2005 by Central StatisticalrnAgency of Ethiopia.rnFurther, the variance of the estimated total unemployed population wasrncompared by using Horvitz-Thompson (1952) and Sen –Yates- Grundy (1953)rnestimators. The result suggests that, variance due to Sen-Yates –Grundy isrnbetter estimator than Horvitz-Thompson .rnIn addition, I would like forward that up to date investigation in the work ofrnapplication of balanced incomplete block design in pps sampling withoutrnreplacement at national and/or regional level is important in minimizing cost atrnlarge.rnResearchers who try to examine the application of BIBD in pps sampling withoutrnreplacement in the further have to take into account those variables other thanrnunemployed population

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