We discuss alternative approaches for estimating from cross-sectional categorical data in the presence of misclassification. Two parameterisations of the misclassification modelare reviewed. The first employs misclassification probabilities and leads tomoment-based inference. The second employs...

A geographical weighted empirical best linear unbiased predictor (GWEBLUP) for a small area average is proposed, and an estimator of its conditional mean squared error is developed. The popular empirical best linear unbiased predictor under the linear mixed model is obtained as a special case of...

type="main" xml:lang="es" <title type="main">Resumen</title> <p>A menudo son necesarias medidas de bienestar económico para áreas geográficas pequeñas, ya que los indicadores económicos pueden distribuirse de manera desigual entre subconjuntos de regiones relativamente pequeñas. Se considera una estimación de áreas...</p>

type="main" xml:id="rssb12019-abs-0001" <title type="main">Summary</title> <p>Recently proposed outlier robust small area estimators can be substantially biased when outliers are drawn from a distribution that has a different mean from that of the rest of the survey data. This naturally leads one to consider an outlier...</p>

Small area estimation is conventionally concerned with the estimation of small area averages and totals. More recently emphasis has been also placed on the estimation of poverty indicators and of key quantiles of the small area distribution function using robust models, for example, the...