The Estimation of The Total Number of Agricultural Families in Ogan Komering Ilir Regency of South Sumatra Province Under Incomplete Sampling Frame

Abstract

The various geographic and topography condition in Indonesia makes several areas in Indonesia have limited access. It needs a high cost and spends a long time on collecting data onto this area so some researchers tend to exclude this area from the sampling frame. Incomplete sampling frames influence the inclusion probabilities of the non-included unit in sampling frame and arises bias. Several approaches could be used to reduce bias, one of them is Predecessor-Successor method. We used a direct estimation of the total number of agricultural families in Ogan Komering Ilir regency by classical sampling theory and PredecessorSuccessor method then evaluated their estimators. The results showed Predecessor-Successor method could reduce bias more effectively than classical sampling theory on a large sample size. Using an appropriate estimation method of a complete frame, the best estimator will be gotten. If it is unattainable, Predecessor-Successor method can be used to direct estimates of population quantity.