We extend the random permutation model to obtain the best linear unbiased estimator of a finite population mean accounting for auxiliary variables under simple random sampling without replacement (SRS) or stratified SRS. The proposed method provides a systematic design-based justification for well-known results involving common estimators derived under minimal assumptions that do not require sp...

Diese Dissertation wurde selbstständig, ohne unerlaubte Hilfe erarbeitet. anchor for secondary structure analysis and crystallization.