The R package emdi for estimating and mapping regionally disaggregated indicators
AK Kreutzmann, S Pannier… - Journal of Statistical …, 2019 - refubium.fu-berlin.de
The R package emdi enables the estimation of regionally disaggregated indicators using
small area estimation methods and includes tools for processing, assessing, and presenting …
small area estimation methods and includes tools for processing, assessing, and presenting …
Small Area Estimation Using Robust Extensions to Area Level Models: Theory, Implementation and Simulation Studies
S Warnholz - 2016 - refubium.fu-berlin.de
The demand for reliable small area statistics from sample surveys has grown substantially
over the past decades due to their growing use in public and private sectors. The field of …
over the past decades due to their growing use in public and private sectors. The field of …
Inferential issues in model-based small area estimation: Some new developments
JNK Rao - Statistics in Transition. New Series, 2015 - ceeol.com
Small area estimation (SAE) has seen a rapid growth over the past 10 years or so. Earlier
work is covered in the author's book (Rao 2003). The main purpose of this paper is to …
work is covered in the author's book (Rao 2003). The main purpose of this paper is to …
[图书][B] The use of data-driven transformations and their applicability in small area estimation
N Rojas-Perilla - 2018 - search.proquest.com
One of the goals of data analysts is to establish relationships between variables using
regression models. Standard statistical techniques for linear and linear mixed regression …
regression models. Standard statistical techniques for linear and linear mixed regression …
[图书][B] Integrating surveys with geospatial data through small area estimation to disaggregate SDG indicators at subnational level: Case study on SDG Indicators 2.3. 1 …
CA Khalil, S di Candia - 2023 - books.google.com
The present technical report illustrates a case study on the adoption of small area estimation
techniques to produce granular sub-national estimates of SDG Indicators 2.3. 1 and 2.3. 2 …
techniques to produce granular sub-national estimates of SDG Indicators 2.3. 1 and 2.3. 2 …
The software environment R for official statistics and survey methodology
The open-source programming language and software environment R is currently one of the
most widely used and popular software tools for statistics and data analysis. This …
most widely used and popular software tools for statistics and data analysis. This …
Integrating surveys with geospatial data through small area estimation to disaggregate SDG indicators: A practical application on SDG Indicator 2.3. 1
CA Khalil, SD Candia, PD Falorsi… - Statistical Journal of the …, 2022 - content.iospress.com
With the adoption of the 2030 Agenda for Sustainable Development, the production of high
quality disaggregated estimates of Sustainable Development Goal (SDG) indicators has …
quality disaggregated estimates of Sustainable Development Goal (SDG) indicators has …
Outlier robust small domain estimation via bias correction and robust bootstrapping
G Bertarelli, R Chambers, N Salvati - Statistical Methods & Applications, 2021 - Springer
Several methods have been devised to mitigate the effects of outlier values on survey
estimates. If outliers are a concern for estimation of population quantities, it is even more …
estimates. If outliers are a concern for estimation of population quantities, it is even more …
Analysis of unit level models for small area estimation in crop statistics assisted with satellite auxiliary information
PKM Jaslam, M Kumar, N Bhardwaj… - Model Assisted …, 2023 - journals.sagepub.com
Crop statistics for a small area, such as the community development block, are an
increasingly important topic in agricultural statistics. Under normality assumptions, the …
increasingly important topic in agricultural statistics. Under normality assumptions, the …