The problem of small area estimation (SAE) is how to produce reliable estimates of
characteristics of interest such as means, counts, quantiles, etc., for areas or domains for …

Despite the popularity of random forests (RF) as a prediction algorithm, methods for
constructing confidence intervals for population means using this technique are still only …

Small Area Estimation and Microsimulation Modeling is the first practical handbook that
comprehensively presents modern statistical SAE methods in the framework of ultramodern …

Forest cover maps were produced for the Gabonese Agency for Space Studies and
Observations (AGEOS) for 1990, 2000 and 2010 for an area of approximately 102,000 km 2 …

Estimation of wood volume and biomass is an important assignment of any National Forest
Inventory. However, the estimation process is often expensive, laborious and sometimes …

This study introduces five facets that can improve inference in small area estimation (SAE)
problems:(1) model groups,(2) test of area effects,(3) conditional EBLUPs,(4) model …

Abstract We propose a Bayesian Penalized Spline Predictive (BPSP) estimator for a finite
population proportion in an unequal probability sampling setting. This new method allows …

For most national forest inventories, the variables of primary interest to users are forest area
and growing stock volume. The precision of estimates of parameters related to these …

The purpose of this paper is to compare some spatial strategies for sampling polygons onto
a grid partitioning a study area. Most of the schemes considered in the paper are aimed at …

The relatively small sampling intensities used by national forest inventories are often
insufficient to produce the desired precision for estimates of population parameters unless …