RT - Journal Article T1 - Total Estimation in Three Frame Surveys JF - srtc-ijoss YR - 2014 JO - srtc-ijoss VO - 24 IS - 2 UR - http://ijoss.srtc.ac.ir/article-1-31-en.html SP - 167 EP - 184 K1 - Sampling frame K1 - multiple frame surveys K1 - Hartley estimator K1 - Fuller- Burmeister estimator K1 - Pseudo-maximum likelihood estimator. AB - In surveys from finite populations usually a probability sample is selected from a sampling frame containing all the units in the target population. In some cases the frame that is available cannot cover target population completely so survey statistics from these frames are bias. On the other hand updating the frame that is available is too expensive. Multiple frame survey can be used to increase population coverage, reduce bias and decrease costs. In multiple frame surveys samples are drown independently from overlapping multiple frames so that these frames give an appropriate coverage of the target population. Several estimators for population total in multiple frame surveys are discussed. In this article we introduce these estimators in a simulation study, we compare performance of different total estimators. LA eng UL http://ijoss.srtc.ac.ir/article-1-31-en.html M3 ER -