PRATESI, MONICA
 Distribuzione geografica
Continente #
NA - Nord America 9.701
EU - Europa 6.857
AS - Asia 5.101
SA - Sud America 768
AF - Africa 342
OC - Oceania 21
Continente sconosciuto - Info sul continente non disponibili 6
Totale 22.796
Nazione #
US - Stati Uniti d'America 9.333
IT - Italia 2.449
SG - Singapore 1.498
PL - Polonia 1.496
CN - Cina 1.487
HK - Hong Kong 910
BR - Brasile 621
SE - Svezia 606
DE - Germania 537
VN - Vietnam 327
BG - Bulgaria 326
GB - Regno Unito 317
CA - Canada 295
FR - Francia 254
FI - Finlandia 182
TR - Turchia 179
UA - Ucraina 179
RU - Federazione Russa 146
KR - Corea 138
JP - Giappone 112
SN - Senegal 104
IN - India 103
CH - Svizzera 101
NL - Olanda 81
ID - Indonesia 79
CI - Costa d'Avorio 69
BD - Bangladesh 58
AR - Argentina 49
ZA - Sudafrica 39
MX - Messico 38
ES - Italia 37
MA - Marocco 35
IQ - Iraq 32
BE - Belgio 26
NG - Nigeria 24
UZ - Uzbekistan 23
VE - Venezuela 23
GR - Grecia 22
SA - Arabia Saudita 21
EC - Ecuador 20
PK - Pakistan 20
CO - Colombia 19
PH - Filippine 19
MY - Malesia 18
AT - Austria 17
KE - Kenya 17
AU - Australia 15
PE - Perù 15
CZ - Repubblica Ceca 14
RO - Romania 13
CL - Cile 10
IE - Irlanda 10
IR - Iran 10
EG - Egitto 9
IL - Israele 9
LT - Lituania 9
ET - Etiopia 8
TW - Taiwan 8
TN - Tunisia 7
JM - Giamaica 6
JO - Giordania 6
SI - Slovenia 6
AE - Emirati Arabi Uniti 5
AZ - Azerbaigian 5
CR - Costa Rica 5
EU - Europa 5
NZ - Nuova Zelanda 5
PT - Portogallo 5
PY - Paraguay 5
TH - Thailandia 5
AM - Armenia 4
BJ - Benin 4
BY - Bielorussia 4
DZ - Algeria 4
NP - Nepal 4
OM - Oman 4
UY - Uruguay 4
AL - Albania 3
BB - Barbados 3
BW - Botswana 3
MO - Macao, regione amministrativa speciale della Cina 3
NI - Nicaragua 3
PA - Panama 3
RS - Serbia 3
TT - Trinidad e Tobago 3
TZ - Tanzania 3
BH - Bahrain 2
BO - Bolivia 2
CM - Camerun 2
DK - Danimarca 2
DO - Repubblica Dominicana 2
GH - Ghana 2
HN - Honduras 2
HU - Ungheria 2
IS - Islanda 2
KH - Cambogia 2
MD - Moldavia 2
PR - Porto Rico 2
PS - Palestinian Territory 2
SK - Slovacchia (Repubblica Slovacca) 2
Totale 22.764
Città #
Woodbridge 1.235
Hong Kong 895
Singapore 835
Ashburn 820
Ann Arbor 811
Serra 702
Santa Clara 659
Chandler 528
San Jose 521
Houston 520
Milan 390
Fairfield 361
Beijing 329
Sofia 326
Shanghai 323
Dallas 268
Salerno 246
Jacksonville 242
Ottawa 226
New York 221
Boardman 184
Wilmington 176
Seattle 163
Hefei 152
Princeton 138
Los Angeles 133
Lawrence 128
Cambridge 127
Frankfurt am Main 119
Seoul 119
London 116
Nanjing 116
Izmir 112
Lauterbourg 111
Florence 108
Chicago 106
Dakar 103
Tokyo 98
Medford 92
Ho Chi Minh City 90
Redwood City 89
Rome 86
Des Moines 78
Pisa 73
Marseille 70
Abidjan 69
Bern 69
Hanoi 58
Dearborn 55
Jüchen 50
São Paulo 45
Council Bluffs 42
Redondo Beach 41
Boulder 40
Nanchang 40
Dong Ket 39
Istanbul 39
Bologna 38
Helsinki 37
Buffalo 36
Munich 34
Orem 28
Kunming 27
Columbus 26
Zurich 26
Baton Rouge 25
Casablanca 25
Viareggio 25
Hebei 24
Shenyang 24
Brussels 23
Changsha 23
Lagos 23
Ogden 22
San Diego 22
Jakarta 21
Tashkent 21
Chennai 19
Belo Horizonte 18
The Dalles 18
Jiaxing 17
Kent 17
Phoenix 17
Auburn Hills 16
Paris 16
Tianjin 16
Falls Church 15
Hangzhou 15
Manchester 15
Nairobi 15
Rio de Janeiro 14
Warsaw 14
Brasília 13
Da Nang 13
Dhaka 13
Nuremberg 13
Pune 13
Baltimore 12
Basingstoke 12
Johannesburg 12
Totale 14.805
Nome #
Nonparametric M-quantile Regression via Penalized Splines 1.593
Weighted estimation in multilevel ordinal and binary models in the presence of informative sampling designs 494
Small area model-based estimators using big data sources 339
Poverty Indicators at Local Level: Definitions, Comparisons in Real Terms and Small Area Estimation Methods 296
Small area estimation based on M-quantile models in presence of outliers in auxiliary variables 295
M-quantile Models with Application to Small Area Estimation and Poverty Mapping 256
M-Quantile Small Area Models for Measuring Poverty at a Local LeveI 245
Semiparametric Fay-Herriot model using Penalized Splines 244
Spatial Distribution of Multidimensional Educational Poverty in Italy using Small Area Estimation 244
M-quantile Geographically Weighted Models with Application to Small Area Estimation 241
M-quantile Geographically Weighted Models with Application to Small Area Estimation 240
Small Area Estimation of Poverty Indicators 238
Spatial Disaggregation and Small-Area Estimation Methods for Agricultural Surveys: Solutions and Perspectives 237
M-quantile small area models when auxiliary variables are measured with error 224
Tools to predicting binary states on the human Y chromosome from STR data 222
The use of Twitter data to improve small area estimates of households’ share of food consumption expenditure in Italy 221
Small Area Estimation Via M-quantile Geographically Weighted Regression 209
Resistance to outliers of M-quantile and robust random effects small area models 209
Local Comparisons of Small Area Estimates of Poverty: An Application Within the Tuscany Region in Italy 208
Missing Data and Small-Area Estimation: Modern Analytical Equipment for the Survey Statistician 205
Lack of concordance between the 75g and 100g Glucose Load Tests for the diagnosis of the gestational diabetes mellitus 200
Do Quality of Services and Institutional Image Impact Students’ Satisfaction and Loyalty in Higher Education? 196
Analysis of Poverty Data by Small Area Estimation 195
Semiparametric M-quantile regression for estimating the proportion of acidic lakes in 8-digit HUCs of the Northeastern US 194
Local stationarity in small area estimation models 190
Spatial EBLUP in agricultural survey. An application based on Census data 188
Small Area Estimation: the EBLUP estimator based on spatially correlated random area effects 182
Bootstrap for estimating the mean squared error of the Spatial Eblup 180
Small area model-based estimators using big data sources 180
Alcuni disegni di campionamento areale per le indagini su imprese non agricole 179
Two-step centre sampling for estimating the size, total and mean of elusive population 178
Small area model-based estimators using big data sources 178
Robust Small Area Estimation and Oversampling in the Estimation of Poverty Indicators 176
Bootstrap for estimating the mean squared error of the Spatial EBLUP 174
Small area estimation: EBLUP estimator with autoregressive random area effects 173
InGRID Deliverable 23.1.: Case studies 172
A Sample Survey on Inactive Students: Weighting Issues in Modelling the Inactivity Status 172
Estimation of poverty indicators at the small area level in Italy 171
Pilot Application 171
The Use of Spatial Information for the Estimation of Poverty Indicators at the Small Area Level 169
A Comparison of the ELL, EBP and M-Quantile Poverty Mapping Methodologies 168
Studio comparato sul tema della distribuzione dei prodotti realizzati con il lavoro dei detenuti 168
The over-shrinkage effect of EBLUP and M-quantile: problems for the estimation of Small Area Parameters 167
Improving small area estimates of households’ share of food consumption expenditure in Italy by means of Twitter data 167
Small area estimation of the mean using nonparametric M-quantile regression: a comparison when a linear mixed model does not hold 166
Constrained Small Area Estimators Based on M-Quantile Methods 165
Software on Small Area Estimation 164
Estimation of income quantiles at the small area level in Tuscany 163
Introduction on measuring poverty at local level using SAE methods 163
Nonparametric M-quantile regression using penalised splines 162
Composite indicators of poverty in the small area case 159
The use of twitter data to improve small area estimates of households' share of food consumption expenditure in Italy 159
Centre sampling for estimating elusive population size 158
Small area models for analysing job placement survey data of the STELLA consortium 158
Spatial network sampling in small area estimation 157
Il biglietto di accesso ai parchi naturali? Un'indagine per valutare la disponibilità dei fruitori a pagarlo per visitare il parco 157
Final Small Area Estimation Developments and Simulation Results 156
Bayesian tools to predict binary mutations on the human Y chromosome on the basis of STR haplotypes 155
Small Area Estimation: the EBLUP estimator with autoregressive random area effects 154
Two Step Centre Sampling for Estimating Elusive Population Size 152
Measuring Educational Poverty in Italy: A Multi-Dimensional and Fuzzy Approach 152
Small area estimation in the presence of correlated random area effects 150
Small area estimation of the mean using nonparametric M-quantile regression: a comparison when a linear mixed model does not hold 148
Does uncertainty in single indicators affect the reliability of composite indexes? An application to the measurement of environmental performances of Italian regions 146
EDI and Business Statistics 144
Estimation of poverty indicators: a comparison of small area methods at LAU1-2 level in Tuscany 144
A semiparametric Fay-Herriot model for estimating poverty measures at LAU 1-2 level in Italy 144
Design consistent small area estimators based on M-quantile regression 144
Resistance to outliers of M-quantile and robust random effects small area models 144
Constrained Small Area Estimators Based on M-Quantile Methods 142
Bootstrap estimation of the mean squared error under a Spatial Fay-Herriot model 142
Design consistent small area estimators based on M-quantile regression 142
Resistance to outliers of M-quantile and robust random effect small area estimation models 141
Disuguaglianze territoriali nella distribuzione dei redditi familiari di mercato e disponibili 141
Bootstrap mean squared error estimation for small area quantiles 139
Geographic Information in Small Area Estimation: Small Area Models and Spatially Correlated Random Area Effects 138
Disaggregation of poverty indicators by small area methods for assessing the targeting of the "Reddito di Cittadinanza" national policy in Italy 137
Internet surveys: the role of time in italian firms response behaviour 136
null 136
Spatial EBLUP in agricultural survey. An application based on Census data 135
Estimation of poverty indicators in Italy: a small area M-Quantile based approach 135
Small area models for unemployment rate estimation at sub-provincial areas in Italy 134
A nonparametric Fay-Herriot model for small area estimation of welfare indicators 134
Small Area Methodology in Poverty Mapping: An introductory overview 134
Measuring poverty indicators at a local level 134
Small Area Estimation Assisted by Spatial model 133
Small area estimation of agricultural data 133
The use of big data and survey data as covariates in area-level small area models 132
Literature Review - Vol II 129
La stima per piccole aree non rappresentate nel campione: il caso della produzione di uva nei comuni della toscana 128
Spatial Models in Small Area Estimation: an M-quantile Approach 126
null 126
Resisting the extortion racket: an empirical analysis 126
Small area methods in the estimation of poverty indicators: the case of Tuscany 125
Bootstrap for estimating the mean squared error of the Spatial EBLUP 125
Semiparametric M-quantile Regression using Penalized Splines 123
Mean Squared Error Estimation for Small Area Means, Quantiles and Poverty Indicators: A nonparametric bootstrap approach 123
Robust prediction of small area means and distributions 120
Metodi di stima in presenza di errori non campionari 117
Inference for big data assisted by small area methods 117
Totale 18.695
Categoria #
all - tutte 52.598
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 52.598


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021228 0 0 0 0 0 0 0 0 0 0 107 121
2021/20221.481 43 134 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
2025/20264.130 233 538 391 487 462 401 643 264 243 460 8 0
Totale 23.074