[PDF][PDF] An overview of methods for treating selectivity in big data sources
Official statistics is now considering seriously big data as a significant data source for
producing statistics. It holds the potential for providing faster, cheaper, more detailed and …
producing statistics. It holds the potential for providing faster, cheaper, more detailed and …
The PIT-trap—A “model-free” bootstrap procedure for inference about regression models with discrete, multivariate responses
Bootstrap methods are widely used in statistics, and bootstrap** of residuals can be
especially useful in the regression context. However, difficulties are encountered extending …
especially useful in the regression context. However, difficulties are encountered extending …
Flexible domain prediction using mixed effects random forests
P Krennmair, T Schmid - Journal of the Royal Statistical Society …, 2022 - academic.oup.com
This paper promotes the use of random forests as versatile tools for estimating spatially
disaggregated indicators in the presence of small area-specific sample sizes. Small area …
disaggregated indicators in the presence of small area-specific sample sizes. Small area …
Longitudinal impact of the COVID-19 pandemic on stress and occupational well-being of mental health professionals: An international study
CS Kogan, JA Garcia-Pacheco… - International Journal …, 2023 - academic.oup.com
Background Increased levels of occupational stress among health professionals during the
COVID-19 pandemic have been documented. Few studies have examined the effects of the …
COVID-19 pandemic have been documented. Few studies have examined the effects of the …
The impact of the content of the label on the buying intention of a wine consumer
This paper aims to analyze the influence of the content of the label of wine bottles on the
purchase intention of wine. The sample was 114 individuals (51, 32% women and 48, 67 …
purchase intention of wine. The sample was 114 individuals (51, 32% women and 48, 67 …
Semiparametric small area estimation for binary outcomes with application to unemployment estimation for local authorities in the UK
R Chambers, N Salvati, N Tzavidis - Journal of the Royal …, 2016 - academic.oup.com
A new semiparametric and robust approach to small area estimation for discrete outcomes is
proposed. The methodology represents an efficient and easily computed alternative to …
proposed. The methodology represents an efficient and easily computed alternative to …
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 …
Expectile regression for multi-category outcomes with application to small area estimation of labour force participation
In many applications of small area estimation, dichotomous or categorical outcomes are the
targets of statistical inference. For example, in the analysis of labour markets, proportions of …
targets of statistical inference. For example, in the analysis of labour markets, proportions of …
Cardiac afferent signals can facilitate visual dominance in binocular rivalry
Sensory signals from the body's visceral organs (eg the heart) can robustly influence the
perception of exteroceptive sensations. This interoceptive–exteroceptive interaction has …
perception of exteroceptive sensations. This interoceptive–exteroceptive interaction has …