• 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: Unit-Level and Area-Level 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: Design-Based 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 triple-sampling 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’ Model-Assisted Small Area Estimators. An S4 implementation of the unbiased extension...
  • mme

  • Referenced in 1 article [sw30839]
  • Gaussian Multinomial mixed-effects 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. Space-time 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 short-time 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 well-posedness 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...