Statistical techniques involving the estimation of parameters for small sub-populations
Small area estimation is any of several statistical techniques involving the estimation of parameters for small sub-populations, generally used when the sub-population of interest is included in a larger survey.
The term "small area" in this context generally refers to a small geographical area such as a county. It may also refer to a "small domain", i.e. a particular demographic within an area. If a survey has been carried out for the population as a whole (for example, a nation or statewide survey), the sample size within any particular small area may be too small to generate accurate estimates from the data. To deal with this problem, it may be possible to use additional data (such as census records) that exists for these small areas in order to obtain estimates.
One of the more common small area models in use today is the 'nested area unit level regression model', first used in 1988 to model corn and soybean crop areas in Iowa. The initial survey data, in which farmers reported the area they had growing either corn or soybeans, was compared to estimates obtained from satellite mapping of the farms.
The final model resulting from this for unit/farm 'j' in county 'i' is , where 'y' denotes the reported crop area, is the regression coefficient, 'x' is the farm-level estimate for either corn or soybean usage from the satellite data and represents the county-level effect of any area characteristics unaccounted for.
The Fay-Herriot model, a random effects model, has been used to make estimates for small domains when the sample from each domain is too small for fixed effects.
and 20 Related for: Small area estimation information
Smallareaestimation is any of several statistical techniques involving the estimation of parameters for small sub-populations, generally used when the...
Fay-Herriot model used for smallareaestimation. Bühlmann model Hierarchical linear modeling Fixed effects MINQUE Covariance estimation Conditional variance...
(June 2007). Income Poverty at District Level: An Application of SmallAreaEstimation Technique (PDF) (Report). Social Policy and Development Centre....
(June 2007). Income Poverty at District Level: An Application of SmallAreaEstimation Technique (PDF) (Report). Social Policy and Development Centre....
color area. Newer systems, such as the PAWPER tape, make use of a simple two-step process to estimate weight: the length-based weight estimation is modified...
In computer vision and image processing, motion estimation is the process of determining motion vectors that describe the transformation from one 2D image...
Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the fundamental...
sequential analysis, decision theory, Bayesian statistics and small-areaestimation. As a recognition of his seminal contributions, Ghosh served from...
estimations of causes of death worldwide, the incidence of HIV, TB, and malaria, as well as obesity, cigarette smoking, heart disease, and smallarea...
methods for human genome data Rachel M. Harter, American expert on smallareaestimation and survey methodology Dominique Haughton, French-American statistician...
in Ethiopia, 2010-2011| (Kater, 2000). Sohnesen, Thomas et al. "Smallareaestimation of child undernutrition in Ethiopian woredas" PLOS ONE https://doi...
fading, and power decay with distance. The method is called channel estimation. The CSI makes it possible to adapt transmissions to current channel conditions...
Linear trend estimation is a statistical technique used to analyze data patterns. Data patterns, or trends, occur when the information gathered "tends"...
C̜etinkaya, Mine (2011). Estimating the impact of air pollution using smallareaestimation. ucla.edu (PhD thesis). University of California, Los Angeles. OCLC 781649608...
mark-recapture, sight-resight, mark-release-recapture, multiple systems estimation, band recovery, the Petersen method, and the Lincoln method. Another major...
Scottish Parliament covers the Glasgow City council area, a north-western part of South Lanarkshire and a small eastern portion of Renfrewshire. It elects nine...
being considered. This is closely related to the method of moments for estimation. A simple example arises where the quantity to be estimated is the population...
unduly affected by outliers or other small departures from model assumptions. In statistics, classical estimation methods rely heavily on assumptions that...
Global Information
