
saery
 Referenced in 31 articles
[sw11943]
 saery: Small Area Estimation for Rao and Yu Model. A complete set of functions...

sae
 Referenced in 11 articles
[sw14506]
 package sae: Small Area Estimation. Functions for small area estimation...

hbsae
 Referenced in 3 articles
[sw30837]
 package hbsae: Hierarchical Bayesian Small Area Estimation. Functions to compute small area estimates based ... output includes the model fit, small area estimates and corresponding MSEs, as well as some ... MSEs, to minimally adjust the small area estimates to benchmarks at a higher aggregation level ... graphically compare different sets of small area estimates...

rsae
 Referenced in 2 articles
[sw30843]
 package rsae: Robust Small Area Estimation. Robust Small Area Estimation. Robust Basic Unit and Area...

EURAREA
 Referenced in 2 articles
[sw03161]
 Comparison of small area estimation methods: simulation study in EURAREA project. In the literature several ... techniques have been introduced for small area estimation. It has not been proved theoretically that ... direct, GREG and EBLUP estimators with correlated area and time effects) in a simulation study ... target of estimation is the average disposable income in small geographical regions of Finland...

PovMap
 Referenced in 2 articles
[sw30841]
 Mapping: PovMap is based on a small area estimation procedure developed by the World Bank...

JoSAE
 Referenced in 2 articles
[sw30836]
 JoSAE: UnitLevel and AreaLevel Small Area Estimation. Implementation of some unit and area...

SAE2
 Referenced in 1 article
[sw30840]
 Package SAE2: Small Area Estimation with R. The package implementes different Small Area Estimators based...

saeRobust
 Referenced in 1 article
[sw15467]
 package saeRobust: Robust Small Area Estimation. Methods to fit robust alternatives to commonly used models ... used in Small Area Estimation. The methods here used are based on best linear unbiased...

forestinventory
 Referenced in 1 article
[sw15742]
 Package forestinventory: DesignBased Global and Small Area Estimations for Multiphase Forest Inventories. Forest inventories ... estimation process in order to reduce inventory costs or improve estimation precision. With respect ... methods (e.g., double and triplesampling regression estimators) has proved to be efficient. While these ... comprehensive set of global and small area regression estimators for multiphase forest inventories under simple...

emdi
 Referenced in 1 article
[sw30835]
 based approach Empirical Best Prediction (see ”Small area estimation of poverty indicators” by Molina...

BayesSAE
 Referenced in 1 article
[sw30838]
 package BayesSAE: Bayesian Analysis of Small Area Estimation. Provides a variety of methods from ... articles to deal with several specific small area area level models in Bayesian framework. Models...

maSAE
 Referenced in 1 article
[sw36698]
 package maSAE: Mandallaz’ ModelAssisted Small Area Estimators. An S4 implementation of the unbiased extension...

mme
 Referenced in 1 article
[sw30839]
 Gaussian Multinomial mixedeffects models for small area estimation: Model 1, with one random effect...

sms
 Referenced in 1 article
[sw24114]
 this work facilitates the production of small area population microdata by combining various datasets such ... Ballas, and Birkin 2012) to estimating poverty at small area levels (Tanton, McNamara, Harding...

BaySTDetect
 Referenced in 4 articles
[sw20750]
 model choice. Spacetime modeling of small area data is often used in epidemiology ... government statistical agencies for producing local estimates of, for example, unemployment or crime rates. Although ... affects all areas similarly, abrupt changes may occur in a particular area ... method for shorttime series of small area data using Bayesian model choice between...

NETT
 Referenced in 18 articles
[sw41773]
 central task in various scientific areas. Several methods for solving such inverse problems are well ... problems. NETT considers data consistent solutions having small value of a regularizer defined ... derive wellposedness results and quantitative error estimates, and propose a possible strategy for training...

SoftPOSIT
 Referenced in 8 articles
[sw28187]
 determination. The problem of pose estimation arises in many areas of computer vision, including object ... this problem, does not have to hypothesize small sets of matches and then verify...

roc
 Referenced in 2 articles
[sw37359]
 directly estimate its variance. Three algorithms for computing the variance for the area under ... continuous scale, but found notable differences in small samples, and when the diagnostic test yields...

WONDER
 Referenced in 4 articles
[sw35432]
 fundamental and highly important problem in this area: How to do ridge regression ... that construct weighted combinations of ridge regression estimators computed on each machine. By analyzing ... effects model where each predictor has a small effect, we discover several new phenomena. Infinite...