Background During the past decade, renewed global and national efforts to combat malaria
have led to ambitious goals. We aimed to provide an accurate assessment of the levels and …

Background Maternal mortality remains a major challenge to health systems worldwide.
Reliable information about the rates and trends in maternal mortality is essential for resource …

This paper proposes a household model that relates various development interventions,
such as infrastructure, to rural development. The model is then estimated using data from a …

Effective site‐specific management requires an understanding of the soil and environmental
factors influencing crop yield variability. Moreover, it is necessary to assess the techniques …

The stochastic frontier model with heterogeneous technical efficiency explained by
exogenous variables is augmented with a sparse spatial autoregressive component for a …

In this paper, we introduce two semiparametric single-index models for spatially and
temporally correlated data. Our first model has spatially and temporally correlated random …

Rural poverty is linked to the exposure of the households to economic vulnerability through
their chronic dependence on agriculture in income-generation. A starting point in mitigating …

Two bootstrap procedures are introduced into the hybrid of the backfitting algorithm and the
Cochrane–Orcutt procedure in the estimation of a spatial-temporal model. The use of time …

A spatiotemporal model is postulated and estimated using a procedure that infuses the
forward search algorithm and maximum likelihood estimation into the backfitting framework …

Philippine COVID-19 data have so many gaps resulting from lack of mass testing, late
reporting of test results, and unreported cases–leading to too much noise and sparsity. A …