PENERAPAN METODE PENDUGAAN AREA KECIL (SMALL AREA ESTIMATION) PADA PENENTUAN PROPORSI RUMAH TANGGA MISKIN DI KABUPATEN KLUNGKUNG

PUTU EKA ARIWIJAYANTHI (Faculty of Mathematics and Natural Sciences, Udayana University)
I WAYAN SUMARJAYA (Faculty of Mathematics and Natural Sciences, Udayana University)
TJOKORDA BAGUS OKA (Faculty of Mathematics and Natural Sciences, Udayana University)

E-Jurnal Matematika
Vol 2 No 3 (2013)

Small area is an area with insufficient sample for direct estimation. Limited survey objects, cause direct estimation can not produce better parameter estimates. Based on this, an indirect estimation method called empirical Bayes is used to obtain a better estimate. This study will compare means squared error by  direct estimation method and empirical Bayes method to find a better method on a small area. Jackknife is used to get the means squared error in the empirical Bayes. The results is, empirical Bayes methods give a better parameters based on mean squared errors. Empirical Bayes can produce a smaller mean squared error more than direct estimation in small area.