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SAMPLE SURVEY BACKGROUND
BASIC METHODS OF SAMPLE SELECTION
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allocation approximation assume average bility census clusters coefficient of variation conditional Corollary correlation covariance Denoting difference estimator distribution double sampling equal probabilities esti expected value Further reading given gives Hence households independent interviewer JASA mator mean square error method multistage sampling number of strata number of units obtained optimum pair population mean population total pps sampling precision proba probability of selecting probability proportionate problem procedure proportion random number random variables Remark response bias response errors sample design sample mean sample selection sample space sample survey sample units sampling fraction sampling scheme sampling with unequal second-stage units selected at random selected with replacement simple random sample Stat stratification stratified sampling stratum subsample subunits systematic sampling tion total number unbiased estimator unequal probabilities unit Ui units is selected variance estimator wtr sampling wtr simple random zero