Web-Based Software for Small Area Estimation under Unit Level Model
نویسندگان
چکیده
منابع مشابه
Robust Small Area Estimation Under Unit Level Models
Small area estimation has received considerable attention in recent years because of an increasing demand for small area statistics. Basic area level and unit level models have been studied in the literature to obtain empirical best linear unbiased predictors for small area means. Although this classical method is useful for estimating the small area means efficiently under strict model assumpt...
متن کاملSmall area prediction for a unit-level lognormal model
Many variables of interest in business and agricultural surveys have skewed distributions. An example from the National Agricultural Statistics Service is the acres harvested for a particular crop. We investigate small area estimation methods for skewed data under the assumption that a lognormal model is a reasonable approximation for the distribution of the response given covariates. Empirical...
متن کاملSmall Area Estimation of Complex Parameters Under Unit-level Models with Skew-Normal Errors
Complex parameters, such as poverty indicators, are usually difficult to predict in small area estimation (SAE). Elbers et al. (2003) have proposed an empirical semi-parametric method for dealing with poverty indices in SAE. This method, commonly called the ELL method, consists of drawing from the empirical residuals to reconstitute the entire census. After simulating the census, any complex pa...
متن کاملArea specific confidence intervals for a small area mean under the Fay-Herriot model
‎Small area estimates have received much attention from both private and public sectors due to the growing demand for effective planning of health services‎, ‎apportioning of government funds and policy and decision making‎. ‎Surveys are generally designed to give representative estimates at national or district level‎, ‎but estimates of variables of interest are oft...
متن کاملAnalysis of area level and unit level models for small area estimation in forest inventories assisted with LiDAR auxiliary information
Forest inventories require estimates and measures of uncertainty for subpopulations such as management units. These units often times hold a small sample size, so they should be regarded as small areas. When auxiliary information is available, different small area estimation methods have been proposed to obtain reliable estimates for small areas. Unit level empirical best linear unbiased predic...
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: OALib
سال: 2021
ISSN: 2333-9721,2333-9705
DOI: 10.4236/oalib.1107207