Domain Estimation Using Linear Regression Export

@article{hidi:patak:2004, abstract = {One of the main objectives of a sample survey is the computation of estimates of means and totals for specific domains of interest. Domains are determined either before the survey is carried out (primary domains) or after it has been carried out (secondary domains). The reliability of the associated estimates depends on the variability of the sample size as well as on the y-variables of interest. This variability cannot be controlled in the absence of auxiliary information for subgroups of the population. However, if auxiliary information is available, the estimated reliability of the resulting estimates can be controlled to some extent. In this paper, we study the potential improvements in terms of the reliability of domain estimates that use auxiliary information. The properties (bias, coverage, efficiency) of various estimators that use auxiliary information are compared using a conditional approach.}, author = {Hidiroglou, Michael A. and Patak, Zdenek}, citeulike-article-id = {1036952}, citeulike-linkout-0 = {http://www.statcan.ca/bsolc/english/bsolc?catno=12-001-X20040016995}, journal = {Survey Methodology}, keywords = {domain\_estimation, sampling, stat9100svy, survey}, pages = {67--78}, posted-at = {2007-01-11 18:07:58}, priority = {2}, title = {Domain Estimation Using Linear Regression}, url = {http://www.statcan.ca/bsolc/english/bsolc?catno=12-001-X20040016995}, volume = {30}, year = {2004} }

TY - JOUR ID - hidi:patak:2004 L3 - citeulike-article-id:1036952 N2 - One of the main objectives of a sample survey is the computation of estimates of means and totals for specific domains of interest. Domains are determined either before the survey is carried out (primary domains) or after it has been carried out (secondary domains). The reliability of the associated estimates depends on the variability of the sample size as well as on the y-variables of interest. This variability cannot be controlled in the absence of auxiliary information for subgroups of the population. However, if auxiliary information is available, the estimated reliability of the resulting estimates can be controlled to some extent. In this paper, we study the potential improvements in terms of the reliability of domain estimates that use auxiliary information. The properties (bias, coverage, efficiency) of various estimators that use auxiliary information are compared using a conditional approach. JF - Survey Methodology EP - 78 TI - Domain Estimation Using Linear Regression VL - 30 SP - 67 KW - domain_estimation KW - sampling KW - stat9100svy KW - survey AU - Hidiroglou, Michael AU - Patak, Zdenek PY - 2004/// UR - http://www.statcan.ca/bsolc/english/bsolc?catno=12-001-X20040016995 ER -