11 citations · 16 across the 6 of their papers we have counts for
8 papers
lqmix: an R package for longitudinal data analysis via linear quantile mixtures
Marco Alfó, Maria Francesca Marino, Maria Giovanna Ranalli +1
The analysis of longitudinal data gives the chance to observe how unit behaviors change over time, but it also poses a series of issues. These have been the focus of an extensive l…
The effect of Informative Selection on the estimation of parameters related to Spatial Processes
Daniel Bonnery, Francesco Pantalone, M. Giovanna Ranalli
This paper extends the concept of informative selection, population distribution and sample distribution to a spatial process context. These notions were first defined in a context…
Mind the wealth gap: a new allocation method to match micro and macro statistics for household wealth
Michele Cantarella, Andrea Neri, Maria Giovanna Ranalli
The financial and economic crisis recently experienced by many European countries has increased demand for timely, coherent and consistent distributional information for the househ…
Semi-Parametric Empirical Best Prediction for small area estimation of unemployment indicators
Maria Francesca Marino, Maria Giovanna Ranalli, Nicola Salvati +1
The Italian National Institute for Statistics regularly provides estimates of unemployment indicators using data from the Labor Force Survey. However, direct estimates of unemploym…
M-quantile regression for multivariate longitudinal data: analysis of the Millennium Cohort Study data
Marco Alfo', Maria Francesca Marino, Maria Giovanna Ranalli +2
We propose a M-quantile regression model for the analysis of multivariate, continuous, longitudinal data. M-quantile regression represents an appealing alternative to standard regr…
Calibration estimation in dual frame surveys
M. Giovanna Ranalli, Antonio Arcos, Maria del Mar Rueda +1
Survey statisticians make use of the available auxiliary information to improve estimates. One important example is given by calibration estimation, that seeks for new weights that…
Dealing with nonresponse in survey sampling: a latent modeling approach
Alina Matei, M. Giovanna Ranalli
Nonresponse is present in almost all surveys and can severely bias estimates. It is usually distinguished between unit and item nonresponse: in the former, we completely fail to ha…
A hierarchical latent class model for predicting disability small area counts from survey data
Enrico Fabrizi, Giorgio E. Montanari, Maria Giovanna Ranalli
This article considers the estimation of the number of severely disabled people using data from the Italian survey on Health Conditions and Appeal to Medicare. Disability is indire…