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Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7369
Abstract: Spatial smoothing models play an important role in the field of small area estimation. In the context of complex survey designs, the use of design weights is indispensable in the estimation process. Recently, efforts have…
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Keywords:
area smoothing;
small area;
smoothing models;
spatial small ... See more keywords
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Published in 2021 at "Journal of Energy Chemistry"
DOI: 10.1016/j.jechem.2020.08.033
Abstract: Abstract Recently, perovskite solar cells (PSCs) have flourished, and their power conversion efficiency (PCE) has increased from the initial 3.8% to 25.2% in 2019, which is an unprecedented advance. However, usually high-efficiency and stable PSCs…
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Keywords:
small area;
scalable fabrication;
perovskite solar;
area ... See more keywords
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Published in 2021 at "Journal of Retailing and Consumer Services"
DOI: 10.1016/j.jretconser.2020.102263
Abstract: Abstract Tourist retail demand within urban areas brings both opportunities and challenges to the local economy. Taking Greater London as the study area, this paper integrates conventional statistics and survey datasets with novel crowdsourcing big…
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Keywords:
small area;
tourist;
area;
greater london ... See more keywords
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Published in 2020 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2020.1803809
Abstract: Under a unit-level bivariate linear mixed model, this paper introduces small area predictors of expenditure means and ratios, and derives approximations and estimators of the corresponding mean squ...
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Keywords:
small area;
unit level;
mixed model;
bivariate linear ... See more keywords
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Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2017.1317806
Abstract: ABSTRACT This paper describes small area estimation (SAE) of proportions under a spatial dependent generalized linear mixed model using aggregated level data. The SAE is also applied to produce reliable district level estimates and mapping…
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Keywords:
small area;
proportions spatial;
level;
area estimation ... See more keywords
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Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2019.1570266
Abstract: Abstract Linear mixed effects models have been popular in small area estimation problems for modeling survey data when the sample size in one or more areas is too small for reliable inference. However, when the…
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Keywords:
area estimation;
model;
small area;
distribution ... See more keywords
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Published in 2021 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2021.1945632
Abstract: The hierarchical Bayes predictor of small area proportions (HBP) under an area level version of generalized linear mixed model with logit link function is widely used in small area estimation for b...
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Keywords:
small area;
area proportions;
nonstationary hierarchical;
hierarchical bayes ... See more keywords
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Published in 2017 at "Annals of the American Association of Geographers"
DOI: 10.1080/24694452.2017.1320213
Abstract: Small area health estimates are important for studying environmental exposure, disease transmission, and health outcomes at the local scale. Yet, to protect privacy, the majority of publicly available health data are aggregated within larger spatial…
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Keywords:
area mortality;
small area;
mortality estimates;
mortality ... See more keywords
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Published in 2021 at "International Journal of Epidemiology"
DOI: 10.1093/ije/dyab168.201
Abstract: The Sustainable Development Goals brought attention to the lack of geographically disaggregated data in low- and middle-income (LMIC) countries as national health surveys are generally not designed to provide estimates beyond the first administrative level.…
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Keywords:
small area;
area estimation;
1076spatial modelling;
child health ... See more keywords
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Published in 2020 at "Schizophrenia Bulletin"
DOI: 10.1093/schbul/sbaa028.002
Abstract: Abstract Background Providing timely, adequate and appropriately-resourced care to people experiencing their first episode of psychosis needs to be informed by evidence-based models of future need in the population. We sought to develop a validated…
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Keywords:
methodology;
need psychosis;
small area;
epidemiology ... See more keywords
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Published in 2017 at "IEEE Transactions on Electron Devices"
DOI: 10.1109/ted.2016.2630311
Abstract: Consistency of the recently proposed deterministic composite modeling framework for Negative Bias Temperature Instability (NBTI) in large area devices is verified for stochastic NBTI in small area devices. The framework has two independent and uncoupled…
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Keywords:
small area;
sub sub;
framework;
area ... See more keywords