منابع مشابه
Some New Developments in Small Area Estimation
Small area estimation has received a lot of attention in recent years due to growing demand for reliable small area statistics. Traditional area-specific estimators may not provide adequate precision because sample sizes in small areas are seldom large enough. This makes it necessary to employ indirect estimators based on linking models. Basic area level and unit level models have been extensiv...
متن کاملSmall area estimation using a nonparametric model-based direct estimator
Nonparametric regression is widely used as a method of characterising a non-linear relationship between a variable of interest and a set of covariates. Practical application of nonparametric regression methods in the field of small area estimation is fairly recent, and has so far focussed on the use of empirical best linear unbiased prediction under a model that combines a penalized spline (p-s...
متن کاملA Comparison of model-based methods for Small Area Estimation
Government agencies often provide small area estimates that rely on available data and some underlying model that helps to provide estimates in all areas, even in those that were not sampled. Several models have been well-established for the study of data coming from small areas. In this paper we have made a comparison of some of these methods paying attention to how different types of data set...
متن کاملSmall area estimation for semicontinuous data.
Survey data often contain measurements for variables that are semicontinuous in nature, i.e. they either take a single fixed value (we assume this is zero) or they have a continuous, often skewed, distribution on the positive real line. Standard methods for small area estimation (SAE) based on the use of linear mixed models can be inefficient for such variables. We discuss SAE techniques for se...
متن کاملSmall-Area Estimation based on Survey Data from a Left-Censored Fay-Herriot Model
We study Small Area Estimation based on data obtained by leftcensored responses from a Fay-Herriot (1979) normal-error model. The problem is motivated by the Census Bureau’s ongoing Small Area Income and Poverty Estimation (SAIPE) project, where a FH model is fitted to a logarithmically transformed response variable (count of sampled poor children within a CPS-sampled county), with PSU’s provid...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Communications for Statistical Applications and Methods
سال: 2003
ISSN: 2287-7843
DOI: 10.5351/ckss.2003.10.3.637