| Name : R-msaeDB
| |
| Version : 0.2.1
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.1.13
| Date : 2024-06-14 11:29:54
|
| Group : Development/Libraries/Other
| Source RPM : R-msaeDB-0.2.1-lp153.1.13.src.rpm
|
| Size : 0.23 MB
| |
| Packager : (none)
| |
| Summary : Difference Benchmarking for Multivariate Small Area Estimation
|
Description :
Implements Benchmarking Method for Multivariate Small Area Estimation
under Fay Herriot Model. Multivariate Small Area Estimation (MSAE) is a
development of Univariate Small Area Estimation that considering the
correlation among response variables and borrowing the strength from
related areas and auxiliary variables to increase the effectiveness of
sample size, the multivariate model in this package is based on
multivariate model 1 proposed by Roberto Benavent and Domingo Morales
(2016) < doi:10.1016/j.csda.2015.07.013>. Benchmarking in Small Area
Estimation is a modification of Small Area Estimation model to
guarantee that the aggregate weighted mean of the county predictors
equals the corresponding weighted mean of survey estimates. Difference
Benchmarking is the simplest benchmarking method but widely used by
multiplying empirical best linear unbiased prediction (EBLUP) estimator
by the common adjustment factors (J.N.K Rao and Isabel Molina, 2015).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
