CINECA IRIS Institutional Research Information System

PRATESI, MONICA
 Distribuzione geografica
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Continente #
NA - Nord America 10.332
EU - Europa 6.929
AS - Asia 5.132
SA - Sud America 789
AF - Africa 347
Continente sconosciuto - Info sul continente non disponibili 284
OC - Oceania 21
Totale 23.834
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Nazione #
US - Stati Uniti d'America 9.916
IT - Italia 2.492
SG - Singapore 1.507
CN - Cina 1.500
PL - Polonia 1.497
HK - Hong Kong 912
BR - Brasile 636
SE - Svezia 624
DE - Germania 538
VN - Vietnam 327
BG - Bulgaria 326
CA - Canada 319
GB - Regno Unito 317
FR - Francia 257
FI - Finlandia 182
TR - Turchia 179
UA - Ucraina 179
RU - Federazione Russa 146
KR - Corea 138
JP - Giappone 113
IN - India 104
SN - Senegal 104
CH - Svizzera 101
NL - Olanda 83
ID - Indonesia 80
CI - Costa d'Avorio 69
BD - Bangladesh 58
AR - Argentina 49
MX - Messico 40
ZA - Sudafrica 39
ES - Italia 38
MA - Marocco 35
IQ - Iraq 32
BE - Belgio 26
NG - Nigeria 24
UZ - Uzbekistan 23
VE - Venezuela 23
CO - Colombia 22
GR - Grecia 22
EC - Ecuador 21
SA - Arabia Saudita 21
AT - Austria 20
PH - Filippine 20
PK - Pakistan 20
MY - Malesia 19
KE - Kenya 17
AU - Australia 15
PE - Perù 15
CZ - Repubblica Ceca 14
JM - Giamaica 13
RO - Romania 13
CL - Cile 11
IE - Irlanda 10
IR - Iran 10
CR - Costa Rica 9
EG - Egitto 9
IL - Israele 9
LT - Lituania 9
ET - Etiopia 8
TW - Taiwan 8
TN - Tunisia 7
JO - Giordania 6
PY - Paraguay 6
SI - Slovenia 6
TT - Trinidad e Tobago 6
AE - Emirati Arabi Uniti 5
AZ - Azerbaigian 5
EU - Europa 5
NP - Nepal 5
NZ - Nuova Zelanda 5
PT - Portogallo 5
TH - Thailandia 5
TZ - Tanzania 5
AM - Armenia 4
BJ - Benin 4
BY - Bielorussia 4
DZ - Algeria 4
NI - Nicaragua 4
OM - Oman 4
UY - Uruguay 4
ZW - Zimbabwe 4
AL - Albania 3
BB - Barbados 3
BW - Botswana 3
HN - Honduras 3
MO - Macao, regione amministrativa speciale della Cina 3
PA - Panama 3
RS - Serbia 3
BH - Bahrain 2
BO - Bolivia 2
CM - Camerun 2
DK - Danimarca 2
DO - Repubblica Dominicana 2
GH - Ghana 2
HU - Ungheria 2
IS - Islanda 2
KH - Cambogia 2
KN - Saint Kitts e Nevis 2
MD - Moldavia 2
PR - Porto Rico 2
Totale 23.516
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Città #
Woodbridge 1.236
Ashburn 909
Hong Kong 896
Singapore 837
Ann Arbor 811
Serra 702
Santa Clara 667
San Jose 573
Chandler 528
Houston 524
Milan 391
Fairfield 361
Beijing 331
Sofia 326
Shanghai 325
Dallas 277
Salerno 246
Jacksonville 243
New York 230
Ottawa 227
Council Bluffs 197
Boardman 184
Wilmington 177
Seattle 164
Hefei 152
Los Angeles 150
Princeton 138
Lawrence 128
Cambridge 127
Frankfurt am Main 120
Seoul 119
London 116
Nanjing 116
Izmir 112
Chicago 111
Lauterbourg 111
Florence 108
Dakar 103
Tokyo 99
Rome 94
Medford 92
Ho Chi Minh City 90
Redwood City 89
Des Moines 78
Pisa 73
Marseille 70
Abidjan 69
Bern 69
Hanoi 58
São Paulo 56
Dearborn 55
Jüchen 50
Buffalo 43
Bologna 41
Redondo Beach 41
Boulder 40
Nanchang 40
Dong Ket 39
Istanbul 39
Helsinki 37
Munich 34
Orem 28
Kunming 27
Columbus 26
Zurich 26
Baton Rouge 25
Casablanca 25
Viareggio 25
Changsha 24
Hebei 24
San Diego 24
Shenyang 24
Brussels 23
Lagos 23
Ogden 23
Jakarta 21
Phoenix 21
Tashkent 21
Chennai 19
Belo Horizonte 18
Montreal 18
The Dalles 18
Toronto 18
Jiaxing 17
Kent 17
Auburn Hills 16
Brooklyn 16
Paris 16
Tianjin 16
Falls Church 15
Hangzhou 15
Manchester 15
Nairobi 15
Warsaw 15
Washington 15
Rio de Janeiro 14
Baltimore 13
Brasília 13
Da Nang 13
Dhaka 13
Totale 15.224
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Nome #
Nonparametric M-quantile Regression via Penalized Splines 1.599
Weighted estimation in multilevel ordinal and binary models in the presence of informative sampling designs 501
Small area model-based estimators using big data sources 350
Small area estimation based on M-quantile models in presence of outliers in auxiliary variables 307
Poverty Indicators at Local Level: Definitions, Comparisons in Real Terms and Small Area Estimation Methods 303
Spatial Disaggregation and Small-Area Estimation Methods for Agricultural Surveys: Solutions and Perspectives 289
M-quantile Models with Application to Small Area Estimation and Poverty Mapping 265
Spatial Distribution of Multidimensional Educational Poverty in Italy using Small Area Estimation 253
M-Quantile Small Area Models for Measuring Poverty at a Local LeveI 250
Semiparametric Fay-Herriot model using Penalized Splines 249
M-quantile Geographically Weighted Models with Application to Small Area Estimation 246
M-quantile Geographically Weighted Models with Application to Small Area Estimation 245
Small Area Estimation of Poverty Indicators 245
M-quantile small area models when auxiliary variables are measured with error 229
Tools to predicting binary states on the human Y chromosome from STR data 225
The use of Twitter data to improve small area estimates of households’ share of food consumption expenditure in Italy 225
Local Comparisons of Small Area Estimates of Poverty: An Application Within the Tuscany Region in Italy 214
Resistance to outliers of M-quantile and robust random effects small area models 214
Small Area Estimation Via M-quantile Geographically Weighted Regression 213
Analysis of Poverty Data by Small Area Estimation 212
Lack of concordance between the 75g and 100g Glucose Load Tests for the diagnosis of the gestational diabetes mellitus 210
Do Quality of Services and Institutional Image Impact Students’ Satisfaction and Loyalty in Higher Education? 208
Missing Data and Small-Area Estimation: Modern Analytical Equipment for the Survey Statistician 206
Semiparametric M-quantile regression for estimating the proportion of acidic lakes in 8-digit HUCs of the Northeastern US 204
Local stationarity in small area estimation models 192
Spatial EBLUP in agricultural survey. An application based on Census data 190
Bootstrap for estimating the mean squared error of the Spatial Eblup 189
Small area model-based estimators using big data sources 186
Small Area Estimation: the EBLUP estimator based on spatially correlated random area effects 184
Two-step centre sampling for estimating the size, total and mean of elusive population 182
Small area model-based estimators using big data sources 182
Alcuni disegni di campionamento areale per le indagini su imprese non agricole 181
Robust Small Area Estimation and Oversampling in the Estimation of Poverty Indicators 181
Bootstrap for estimating the mean squared error of the Spatial EBLUP 180
InGRID Deliverable 23.1.: Case studies 180
A Sample Survey on Inactive Students: Weighting Issues in Modelling the Inactivity Status 179
Pilot Application 176
Estimation of poverty indicators at the small area level in Italy 175
A Comparison of the ELL, EBP and M-Quantile Poverty Mapping Methodologies 175
Small area estimation: EBLUP estimator with autoregressive random area effects 174
Improving small area estimates of households’ share of food consumption expenditure in Italy by means of Twitter data 173
Small area estimation of the mean using nonparametric M-quantile regression: a comparison when a linear mixed model does not hold 173
Software on Small Area Estimation 172
The Use of Spatial Information for the Estimation of Poverty Indicators at the Small Area Level 171
Studio comparato sul tema della distribuzione dei prodotti realizzati con il lavoro dei detenuti 171
The over-shrinkage effect of EBLUP and M-quantile: problems for the estimation of Small Area Parameters 169
Nonparametric M-quantile regression using penalised splines 168
Estimation of income quantiles at the small area level in Tuscany 167
Constrained Small Area Estimators Based on M-Quantile Methods 167
Introduction on measuring poverty at local level using SAE methods 166
The use of twitter data to improve small area estimates of households' share of food consumption expenditure in Italy 166
Small area models for analysing job placement survey data of the STELLA consortium 164
Composite indicators of poverty in the small area case 164
Spatial network sampling in small area estimation 163
Il biglietto di accesso ai parchi naturali? Un'indagine per valutare la disponibilità dei fruitori a pagarlo per visitare il parco 160
Centre sampling for estimating elusive population size 159
Small Area Estimation: the EBLUP estimator with autoregressive random area effects 159
Small area estimation of the mean using nonparametric M-quantile regression: a comparison when a linear mixed model does not hold 157
Final Small Area Estimation Developments and Simulation Results 157
Measuring Educational Poverty in Italy: A Multi-Dimensional and Fuzzy Approach 157
Does uncertainty in single indicators affect the reliability of composite indexes? An application to the measurement of environmental performances of Italian regions 157
Bayesian tools to predict binary mutations on the human Y chromosome on the basis of STR haplotypes 156
Two Step Centre Sampling for Estimating Elusive Population Size 153
Small area estimation in the presence of correlated random area effects 153
A semiparametric Fay-Herriot model for estimating poverty measures at LAU 1-2 level in Italy 150
Resistance to outliers of M-quantile and robust random effects small area models 149
Estimation of poverty indicators: a comparison of small area methods at LAU1-2 level in Tuscany 148
Design consistent small area estimators based on M-quantile regression 148
Constrained Small Area Estimators Based on M-Quantile Methods 147
Resistance to outliers of M-quantile and robust random effect small area estimation models 146
EDI and Business Statistics 145
Bootstrap estimation of the mean squared error under a Spatial Fay-Herriot model 145
Design consistent small area estimators based on M-quantile regression 145
Disaggregation of poverty indicators by small area methods for assessing the targeting of the "Reddito di Cittadinanza" national policy in Italy 143
Disuguaglianze territoriali nella distribuzione dei redditi familiari di mercato e disponibili 143
Geographic Information in Small Area Estimation: Small Area Models and Spatially Correlated Random Area Effects 142
Small Area Estimation Assisted by Spatial model 141
Bootstrap mean squared error estimation for small area quantiles 141
Internet surveys: the role of time in italian firms response behaviour 140
A nonparametric Fay-Herriot model for small area estimation of welfare indicators 139
Spatial EBLUP in agricultural survey. An application based on Census data 138
Small Area Methodology in Poverty Mapping: An introductory overview 138
Measuring poverty indicators at a local level 138
Small area models for unemployment rate estimation at sub-provincial areas in Italy 137
Estimation of poverty indicators in Italy: a small area M-Quantile based approach 137
The use of big data and survey data as covariates in area-level small area models 137
Small area estimation of agricultural data 137
null 136
Literature Review - Vol II 132
La stima per piccole aree non rappresentate nel campione: il caso della produzione di uva nei comuni della toscana 130
Spatial Models in Small Area Estimation: an M-quantile Approach 130
Resisting the extortion racket: an empirical analysis 130
Bootstrap for estimating the mean squared error of the Spatial EBLUP 130
Small area methods in the estimation of poverty indicators: the case of Tuscany 129
Inference for big data assisted by small area methods 129
Mean Squared Error Estimation for Small Area Means, Quantiles and Poverty Indicators: A nonparametric bootstrap approach 127
Semiparametric M-quantile Regression using Penalized Splines 126
null 126
Recent advances in small area methodologies for poverty estimation 123
Robust prediction of small area means and distributions 123
Totale 19.235
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Categoria #
all - tutte 57.365
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 57.365
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/20221.438 0 134 29 77 255 183 58 73 92 48 135 354
2022/20231.924 221 212 119 149 160 278 18 105 506 11 115 30
2023/20243.109 191 168 216 115 225 227 101 61 36 1.511 53 205
2024/20254.495 57 177 189 193 426 453 351 272 374 543 492 968
2025/20264.387 233 538 391 487 462 401 643 264 243 460 205 60
2026/2027503 132 371 0 0 0 0 0 0 0 0 0 0
Totale 23.834