Nested-Error ModelorsUnit Level ModelsCut-off sampling is applied when there is a subset of units from the population from which getting the required information is too expensive or difficult and, tGuadarrama, MariaMolina, IsabelTillé, YvesSocial Science Electronic Publishing...
Small Area estimation is a technique used to estimate parameters of subpopulations with small sample sizes. Generally, in some cases, small area estimation uses parametric modeling. But in fact, a lot of models have no linear relationship between the small area average and the covariate. This ...
An accessible introduction to indirect estimation methods, both traditional and model-based. Readers will also find the latest methods for measuring the variability of the estimates as well as the techniques for model validation. Uses a basic area-level linear model to illustrate the methods Presents...
we perform extensive simulation studies to compare our methods with a collection of common SAE strategies, including direct estimators, synthetic estimators, composite estimators, and Datta GS, Ghosh M, Steorts R, Maples J.'s [Bayesian benchmarking with applications to small area estimation. Test ...
small area estimation techniques and where possible, incorporating multiple data sources. However, these small area estimation methods have not been able to handle spatially misaligned data; for example, data where the geographies identified were more aggregate (e.g., first instead of second ...
A ratio-correlation (multiple regression) approach for estimating key economic statistics for small areas is proposed and compared with several synthetic estimation methods using various measures of performance. Using published data that are easily accessible, the methods provide a means of estimating ...
ORIGINAL RESEARCH Using Small-Area Estimation Method to Calculate County-Level Prevalence of 来自 Citeseer 喜欢 0 阅读量: 13 摘要: Penman A, May W. Using small-area estimation method to calculate county-level prevalence of obesity in Mississippi...
1)small area estimation小域估计 1.This paper mainly introduces the theory and new development insmall area estimation.小域估计问题是当今抽样调查中的一个热点问题,由于小域样本量很小甚至为零,用传统的直接估计无法得到小域的精确估计,故借助于其他相邻与相似的小域的样本信息和历史信息的间接估计来提高估计...
内容提示: Computational Statistics and Data Analysis 94 (2016) 372–390Contents lists available at ScienceDirectComputational Statistics and Data Analysisjournal homepage: www.elsevier.com/locate/csdaMultivariate Fay–Herriot models for small area estimationRoberto Benavent, Domingo Morales ∗Centro de ...
Many small area estimation methods have been suggested. Also for the comparison of the estimation methods, model diagnostic checking techniques have been studied. Almost all of the small area estimators were developed by minimizing MSE(Mean square error) and so the MSE is the well-known comparison...