Lihat Juga

• Data for: Small area estimation with multiple covariates measured with errors: A nested error linear regression approach of combining multiple surveys
  oleh: Torabi, Mahmoud
  Terbitan: (2018)
• A SUMMARIZATION OF BAYESIAN ASPECTS OF SMALL AREA ESTIMATION
  oleh: Handayani, Dian
  Terbitan: (2012)
• Small Area Estimation with Measurement Error in t Distributed Covariate Variable
  oleh: Hariyanto, Soni; Department of Statistics, Faculty of Mathematics and Natural Science, IPB University, Bogor 16680, Indonesia, et al.
  Terbitan: (2020)
• There have been two main topics developed by statisticians in a survey, i.e. sampling techniques and estimation methods. The current issues in estimation methods related to estimation of a particular domain having small size of samples or, in more extreme cases, there is no sample available for direct estimation. Sample survey data provide effective reliable estimators of totals and means for large area and domains. But it is recognized that the usual direct survey estimator performing statistics for a small area, have unacceptably large standard errors, due to the circumstance of small sample size in the area. The most commonly used models for this case, usually in small area estimation, are based on generalized linear mixed models. Some time happened that some surveys are carried out periodically so that the estimation could be improved by incorporating both the area and time random effects. In this paper we propose a state space model which accounts for the two random effects and is based on two equation, namely transition equation and measurement equation. Based on a evaluation criterion, the proposed hierarchical Bayes estimator turns out to be superior to both estimated best linear unbiased prediction (BLUP) and the direct survey estimator. The posterior variances which measure accuracy of the hierarchical Bayes estimates are always smaller than the corresponding variances of the BLUP and the direct survey estimates
  oleh: Sadik, Kusman; FMIPA IPB
  Terbitan: (2012)
• ESTIMATION OF UNEMPLOYMENT RATE USING SMALL AREA ESTIMATION MODEL BASED ON A ROTATING PANEL NATIONAL LABOR FORCE SURVEY
  oleh: Muchlisoh, Siti; BPS, et al.
  Terbitan: (2015)