Review and synthesis of estimation strategies to meet small area needs in Forest inventory
Small area estimation is a growing area of research for making inferences over geographic,
demographic, or temporal domains smaller than those in which a particular survey data set …
demographic, or temporal domains smaller than those in which a particular survey data set …
A spatially varying model for small area estimates of biomass density across the contiguous United States
Abstract The USDA Forest Service, Forest Inventory and Analysis (FIA) program constructs
area estimates of forest attributes through a quasi-systematic sample of field plots distributed …
area estimates of forest attributes through a quasi-systematic sample of field plots distributed …
Constructing sociodemographic indicators for national statistical institutes by using mobile phone data: estimating literacy rates in Senegal
Modern systems of official statistics require the accurate and timely estimation of
sociodemographic indicators for disaggregated geographical regions. Traditional data …
sociodemographic indicators for disaggregated geographical regions. Traditional data …
Measuring disaggregate level food insecurity via multivariate small area modelling: evidence from rural districts of Uttar Pradesh, India
In recent times, India has achieved significant advancement on several health indicators
while the state of food security in the country still needs sustained efforts to accelerate …
while the state of food security in the country still needs sustained efforts to accelerate …
Small area prediction of proportions and counts under a spatial Poisson mixed model
This paper introduces an area-level Poisson mixed model with SAR (1) spatially correlated
random effects. Small area predictors of proportions and counts are derived from the new …
random effects. Small area predictors of proportions and counts are derived from the new …
Small area estimation of poverty and wealth using geospatial data: What have we learned so far?
D Newhouse - Calcutta Statistical Association Bulletin, 2024 - journals.sagepub.com
This article offers a non-technical review of selected applications that combine survey and
geospatial data to generate small area estimates of wealth or poverty. Publicly available …
geospatial data to generate small area estimates of wealth or poverty. Publicly available …
Small area estimation under a spatially correlated multivariate area-level model
Spatial version of multivariate Fay–Herriot model is introduced and small area predictor
under this model is proposed. The residual maximum likelihood is employed for estimating …
under this model is proposed. The residual maximum likelihood is employed for estimating …
Small area prediction of counts under a non-stationary spatial model
There is a growing need for current and reliable counts at small area level. The empirical
predictor under a generalised linear mixed model (GLMM) is often used for small area …
predictor under a generalised linear mixed model (GLMM) is often used for small area …
Measuring and map** disaggregate level disparities in food consumption and nutritional status via multivariate small area modelling
Although India has progressed significantly on several health outcomes but the state of food
and nutrition security in the country still requires sustained efforts to accelerate achievement …
and nutrition security in the country still requires sustained efforts to accelerate achievement …
Spatial small area estimates of undernutrition for under five children in Ethiopia via combining survey and census data
A survey is typically designed to produce reliable estimates of target variables of the
population at national and regional levels. For unplanned zones with small sample sizes …
population at national and regional levels. For unplanned zones with small sample sizes …