2 citations · 3 across the 2 of their papers we have counts for
4 papers
Scale estimation and data-driven tuning constant selection for M-quantile regression
James Dawber, Nicola Salvati, Timo Schmid +1
M-quantile regression is a general form of quantile-like regression which usually utilises the Huber influence function and corresponding tuning constant. Estimation requires a nui…
Causal Inferences in Small Area Estimation
Setareh Ranjbar, Nicola Salvati, Barbara Pacini
When doing impact evaluation and making causal inferences, it is important to acknowledge the heterogeneity of the treatment effects for different domains (geographic, socio-demogr…
Small Area Estimation with Linked Data
Ray Chambers, Enrico Fabrizi, Nicola Salvati
In Small Area Estimation data linkage can be used to combine values of the variableof interest from a national survey with values of auxiliary variables obtained from another sourc…
The use of sampling weights in the M-quantile random-effects regression: an application to PISA mathematics scores
Francesco Schirripa Spagnolo, Nicola Salvati, Antonella D'Agostino +1
M-quantile random-effects regression represents an interesting approach for modelling multilevel data when the interest of researchers is focused on the conditional quantiles. When…