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Ranalli, M. Giovanna
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1

Correction to: Foreword to the special issue on "Survey Met..:

Ranalli, M. Giovanna ; Beaumont, Jean-François ; Bertarelli, Gaia.
METRON.  , 2024
Link: https://doi.org/10.1007/..
 
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2

M‐quantile regression shrinkage and selection via the Lasso..:

Ranalli, M. Giovanna ; Salvati, Nicola ; Petrella, Lea.
Biometrical Journal.  65 (2023)  8 - p. , 2023
Link: https://doi.org/10.1002/..
 
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3

Foreword to the special issue on "Survey Methods for Statis..:

Ranalli, M. Giovanna ; Beaumont, Jean-François ; Bertarelli, Gaia.
METRON.  81 (2023)  1 - p. 1-3 , 2023
Link: https://doi.org/10.1007/..
 
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4

Correction to: Finite mixtures of quantile and M-quantile r..:

Alfò, Marco ; Salvati, Nicola ; Giovanna, Ranalli M.
Statistics and Computing.  34 (2023)  1 - p. , 2023
Link: https://doi.org/10.1007/..
 
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5

Generalised calibration with latent variables for the treat..:

Ranalli, M. Giovanna ; Matei, Alina ; Neri, Andrea
Statistical Methods & Applications.  32 (2022)  1 - p. 169-195 , 2022
Link: https://doi.org/10.1007/..
 
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6

Estimation of small area counts with the benchmarking prope..:

Ranalli, M. Giovanna ; Montanari, Giorgio E. ; Vicarelli, Cecilia
METRON.  76 (2018)  3 - p. 349-378 , 2018
Link: https://doi.org/10.1007/..
 
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7

Foreword to the special issue on "Advances in Survey Statis..:

Opsomer, Jean D. ; Ranalli, M. Giovanna ; Dickson, Maria Michela
METRON.  75 (2017)  3 - p. 245-247 , 2017
Link: https://doi.org/10.1007/..
 
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8

Measuring University Performance by Means of Composite Indi..:

Gnaldi, Michela ; Ranalli, M. Giovanna
Social Indicators Research.  129 (2016)  2 - p. 659-675 , 2016
Link: https://www.jstor.org/st..
 
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9

A hierarchical latent class model for predicting disability..:

Fabrizi, Enrico ; Montanari, Giorgio E. ; Ranalli, M. Giovanna
Journal of the Royal Statistical Society. Series A (Statistics in Society).  179 (2016)  1 - p. 103-131 , 2016
Link: http://www.jstor.org/sta..
 
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10

Functional exploratory data analysis for high‐resolution me..:

Ranalli, M. Giovanna ; Rocco, Giorgia ; Jona Lasinio, Giovanna...
Biometrical Journal.  58 (2016)  5 - p. 1229-1247 , 2016
Link: https://doi.org/10.1002/..
 
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11

Finite mixtures of quantile and M-quantile regression model:

Alfò, Marco ; Salvati, Nicola ; Giovanna, Ranalli M.
Statistics and Computing.  27 (2016)  2 - p. 547-570 , 2016
Link: https://doi.org/10.1007/..
 
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12

Measuring University Performance by Means of Composite Indi..:

Gnaldi, Michela ; Ranalli, M. Giovanna
Social Indicators Research.  129 (2015)  2 - p. 659-675 , 2015
Link: https://doi.org/10.1007/..
 
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13

Calibration estimation in dual-frame surveys:

Ranalli, M. Giovanna ; Arcos, Antonio ; Rueda, María del Mar.
Statistical Methods & Applications.  25 (2015)  3 - p. 321-349 , 2015
Link: https://doi.org/10.1007/..
 
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14

A Hierarchical Latent Class Model for Predicting Disability..:

Fabrizi, Enrico ; Montanari, Giorgio E. ; Giovanna Ranalli, M.
Journal of the Royal Statistical Society Series A: Statistics in Society.  179 (2015)  1 - p. 103-131 , 2015
Link: https://doi.org/10.1111/..
 
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15

Semiparametric M-quantile regression for count data:

Dreassi, Emanuela ; Ranalli, M Giovanna ; Salvati, Nicola
Statistical Methods in Medical Research.  23 (2014)  6 - p. 591-610 , 2014
Link: https://doi.org/10.1177/..
 
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