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.
Published In:IJCSN Journal Volume 6, Issue 6
Date of Publication : December 2017
Pages : 792-799
Figures :02
Tables : 03
Asih Maulida : Student of masters degree programs in applied
statistics at Bogor Agricultural University, Indonesia and attained
bachelor degree from the Gajahmada University in 2006.
Farit Mochamad Afendi : Lecturer of Department of Statistics, Bogor
Agricultural University, Indonesia. His research interest in
Geoinformatics. His doctorate degree was attained from Nara
Institute of Science and Technology, Japan.
Kusman Sadik : Lecturer of Department of Statistics, Bogor
Agricultural University, Indonesia. His research interest in statistical
modelling, small area estimation, robust statistics. His doctorate
degree was attained from Bogor Agricultural University, Indonesia. A
part of his courses and research of doctoral was taken at the
University of Maryland, United States.
Coverage Error, Predecessor-Successor, Remote Area
A biased value of the estimator which is caused coverage
error due to the incomplete sampling frame will be
significantly minimized by the Predecessor-Successor
method on medium and large sample size. On the other
hand, classical sampling theories include either simple
sampling method or stratified sampling method will be
more efficient than the Predecessor-Successor method for
small and rather medium sample size.
Using the appropriate estimation method can minimize
the biased problems. The results of the estimator would be
better if all of the units were the target of the population
and included in a frame. However, if a complete frame
cannot be obtained especially region, which has remote
area, Predecessor-Successor method can be chosen as an
alternative method to estimate a population quantity.
[1] [UN] United Nations, Handbook on Economic
Tendency Surveys (ETS), New York: UN, 2015.
[2] [UN] United Nations, Designing Household Survey
Samples: Practical Guidelines, New York: UN.
2008.
[3] D.E. Haines, K.H. Pollock, and S.G. Pantula,
“Population Size and Total Estimation When
Sampling From Incomplete List Frames With
Heterogeneous Inclusion Probabilities”, Survey
Methodology,Vol.26, No.2, 2000, pp. 121-129.
[4] D.E. Haines, and K.H. Pollock, “Combining Multiple
Frames, to Estimate Population Size and Totals”,
Survey Methodology, Vol.24, No.1, 1998, pp. 79-88.
[5] K.H. Pollock, S.C. Turner and C.A. Brown, “Use of
Capture-Recapture Techniques to Estimate Population
Size and Population Totals when a Complete Frame is
Unavailable”, Survey Methodology, Vol.20, No.2,
1994, pp. 117-124.
[6] P. S. Kott, “Using Calibration Weighting to Adjust for
Nonresponse and Coverage Errors”, Survey
Methodology, Vol.32, No.2, 2006, pp. 133-142.
[7] M.H. Hansen, W.N. Hurwitz, and T.B. Jabine, “The
Use of Imperfect Lists for Probability Sampling at The
U.S. Bureau of the Census”, Bulletin of the
International Statistical Institute, Vol.40, Book 1,
1963, pp. 497-517. (Was cited in R.Singh,
“Methods of Estimation for the from Incomplete
Sampling Frames”, Austral J Statist, Vol.31, No.2,
1989, pp.269-276).
[8] R.Singh,“Methods of Estimation for the from
Incomplete Sampling Frames”, Austral J Statist,
Vol.31, No.2, 1989, pp.269-276. [9] B. Agarwal, and P.C. Gupta, “Estimation from
Incomplete Sampling Frames in Case of Simple
Random Sampling”, Model Assisted Statistics and
Applications,Vol.3, 2008, pp.113-117.
[10] [Bappenas] Ministry for National Development
Planning/National Development Planning Agency of
The Republic of Indonesia, 2014 The Village
Development Index, Jakarta: Bappenas, 2015.
[11] [BPS OKI Regency] Statistics of Ogan Komering Ilir
Regency, Ogan Komering Ilir Regency in Figures
2016, Kayu Agung: BPS OKI Regency, 2016.
[12] S.L. Lohr, Sampling: Design and Analysis, 2nd edition,
Boston: Brooks/Cole, 2010.
[13] R.Singh, “Predecessor-Successor Method”, In
Encyclopedia of Statistical Sciences, 2006, DOI:
10.1002/0471667196. ess2044.
[14] J.N.K. Rao, Small Area Estimation, New Jersey:
J. Wiley, 2003.
[15] P.S. Levy, and S. Lemeshow, Sampling of Population:
Methods and Applications, New York: J. Wiley, 1999.