Accepted presentations cancelled by authors

Corrected confidence intervals for a small area mean based on the weighted estimator with fixed weights under the Fay-Herriot model.

There is a growing demand on small area estimates for policy and decision making, local planning and fund distribution. The best known small area estimation model, which is called the Fay-Herriot (FH) model is considered here. There is a situation in mixed model estimation that the estimates of the variance component of the random effect […]

Fitting small area models under informative sampling design and nonignorable nonresponse

Two-stage sampling is frequently used in small areas. When the selection probabilities are related to the values of the response variable, even after conditioning on concomitant variables included in the population model, the sample design is defined as informative. This may result in selection bias. In addition to the effect of applying an informative sampling […]

Robust prediction for small area

Influential units occur frequently in surveys, especially in the context of business surveys that collect economic variables whose distribution are highly skewed. A unit is said to be influential when its inclusion or exclusion from the sample has an important impact on the magnitude of survey statistics. Robust small area prediction has received a lot […]

Spatial boundary changes overtime: small area estimation approach to maintain compatibility of data

Sample survey data are mainly collected based on fixed boundaries, however, countries such as South Africa experience frequent administrative boundary changes causing difficulties in producing comparable statistics through time. Rindfuss et. al (2004) stated that unless a consistent geographical approach is taken with time-series data, it cannot be known whether changes in the relationships between […]

A unit-level multilevel model with survey weights and design effects for small area estimation of Health Insurance coverage using geocoded American Community Survey (ACS)

National demographic and health surveys have become routinely geocoded in federal statistical agencies in the United States. The geocoded surveys allow us to construct and fit appropriate unit-level multilevel models for small area estimation. We developed a unit-level multilevel model and poststratification (MRP) approach for small area estimation with geocoded ACS. The multilevel logistic model […]

An anticipated variance approach to estimating sampling variances for small area estimation problems

Area-level small area estimation models typically use both the point estimates from a survey and their corresponding design-based sampling variances as inputs. While the point estimates themselves are carefully modeled, the estimated sampling variances are often assumed known in small area models. In practice, for areas with small effective sample sizes the accuracy of design-based […]

Estimation for a unit level model with measurement errors

Mixed effects regression models are widely used in small area estimation for linking areas and borrowing strength across domains but when the auxiliary information used in these is measured with error, the resulting estimators might be largely affected if the measurement error is ignored. Measurement error models are, in general, not identifiable and several methods […]