The newly proposed\nmethod adopts the multinomial likelihood function for the grouped data. In\norder to connect the group probabilities of the multinomial likelihood and the\nauxiliary variables within the framework of small area estimation, we introduce\nthe unobserved unit-level quantities of ...
Small area estimates provide a critical source of information used by a variety of stakeholders to study human conditions and behavior at the local level. Statistical agencies regularly collect data from small areas but are prevented from releasing detailed geographical identifiers in public-use data se...
Small area estimation of general finite-population parameters based on grouped data 2023, Computational Statistics and Data Analysis Show abstract Spatial modelling of municipal waste generation: Deriving property lot estimates with limited data 2021, Resources, Conservation and Recycling Citation Excerpt : ...
This package can be used to obtain model-based estimates for small areas based on a variety of mod... Molina,Isabel,Marhuenda,... - 《R Journal》 被引量: 36发表: 2015年 sae: An R Package for Small Area Estimation We describe the R package sae for small area estimation. This package...
estimation based only on the sample data from the domain (Rao, 2003). When direct estimation is not possible, one has to rely upon alternative model-based methods for producing small area estimates. Small area estimation is conventionally concerned with the estimation of small area averages and ...
Missing Data and Small-Area Estimation 2024 pdf epub mobi 电子书 图书描述 This book develops methods for two key problems in the analysis of large-scale surveys: dealing with incomplete data and making inferences about sparsely represented subdomains. The presentation is committed to two particular ...
Small Area Estimation: An Appraisal Small area estimation is becoming important in survey sampling due to a growing demand for reliable small area statistics from both public and private sect... M. Ghosh and J. N. K. Rao - 《Statistical Science》...
Analysis of Poverty Data by Small Area Estimation A comprehensive guide to implementing SAE methods for poverty studies and poverty mappingThere is an increasingly urgent demand for poverty and living conditions data, in relation to local areas and/or subpopulations. Policy makers and s... Pratesi,...
RAO, J. N. K. (2003).Small Area Estimation, Hoboken (NJ): John Wiley and Sons. SCHOCH, T. (2012). Robust Unit-Level Small Area Estimation: A Fast Algorithm for Large Data,Austrian Journal of Statistics41, 243–265.DOI: 10.17713/ajs.v41i4.1548...
Small-area estimation has received considerable attention in recent years because of a growing demand for reliable small-area statistics. The direct-survey estimators, based only on the data from a given small area (or small domain), are likely to yield unacceptably large standard errors because ...