PRATESI, MONICA
 Distribuzione geografica
Continente #
NA - Nord America 8.978
EU - Europa 6.571
AS - Asia 4.462
SA - Sud America 731
AF - Africa 312
OC - Oceania 20
Continente sconosciuto - Info sul continente non disponibili 6
Totale 21.080
Nazione #
US - Stati Uniti d'America 8.623
IT - Italia 2.400
PL - Polonia 1.495
CN - Cina 1.432
SG - Singapore 1.221
HK - Hong Kong 897
SE - Svezia 605
BR - Brasile 602
DE - Germania 525
BG - Bulgaria 326
CA - Canada 293
GB - Regno Unito 291
VN - Vietnam 186
UA - Ucraina 179
TR - Turchia 172
FI - Finlandia 158
RU - Federazione Russa 143
KR - Corea 136
FR - Francia 127
SN - Senegal 102
IN - India 83
NL - Olanda 77
ID - Indonesia 76
CH - Svizzera 75
CI - Costa d'Avorio 69
BD - Bangladesh 48
AR - Argentina 45
JP - Giappone 44
ES - Italia 34
MX - Messico 33
MA - Marocco 32
ZA - Sudafrica 32
BE - Belgio 26
NG - Nigeria 24
IQ - Iraq 23
GR - Grecia 22
UZ - Uzbekistan 20
VE - Venezuela 19
EC - Ecuador 18
SA - Arabia Saudita 18
AT - Austria 16
CO - Colombia 15
PE - Perù 15
PH - Filippine 15
AU - Australia 14
MY - Malesia 14
PK - Pakistan 14
CZ - Repubblica Ceca 13
RO - Romania 13
KE - Kenya 12
IR - Iran 10
CL - Cile 9
IE - Irlanda 9
IL - Israele 9
TW - Taiwan 8
EG - Egitto 7
LT - Lituania 7
ET - Etiopia 6
SI - Slovenia 6
EU - Europa 5
JM - Giamaica 5
NZ - Nuova Zelanda 5
PT - Portogallo 5
AE - Emirati Arabi Uniti 4
AM - Armenia 4
AZ - Azerbaigian 4
BJ - Benin 4
BY - Bielorussia 4
CR - Costa Rica 4
JO - Giordania 4
OM - Oman 4
PY - Paraguay 4
TH - Thailandia 4
TN - Tunisia 4
AL - Albania 3
BB - Barbados 3
BW - Botswana 3
DZ - Algeria 3
MO - Macao, regione amministrativa speciale della Cina 3
NI - Nicaragua 3
PA - Panama 3
TT - Trinidad e Tobago 3
TZ - Tanzania 3
UY - Uruguay 3
CM - Camerun 2
GH - Ghana 2
HU - Ungheria 2
MD - Moldavia 2
NP - Nepal 2
PR - Porto Rico 2
RS - Serbia 2
SK - Slovacchia (Repubblica Slovacca) 2
SY - Repubblica araba siriana 2
BA - Bosnia-Erzegovina 1
BH - Bahrain 1
BO - Bolivia 1
CG - Congo 1
CV - Capo Verde 1
DK - Danimarca 1
DO - Repubblica Dominicana 1
Totale 21.062
Città #
Woodbridge 1.235
Hong Kong 884
Ann Arbor 811
Ashburn 762
Serra 702
Singapore 662
Santa Clara 657
Chandler 528
Houston 519
Milan 381
Fairfield 361
Beijing 328
Sofia 326
Shanghai 323
Dallas 262
Salerno 246
Jacksonville 242
Ottawa 226
New York 216
Boardman 184
Wilmington 175
Seattle 163
Hefei 152
Princeton 138
Lawrence 128
Los Angeles 128
Cambridge 127
Seoul 119
Nanjing 115
Frankfurt am Main 113
London 113
Izmir 112
Florence 104
Chicago 102
Dakar 101
Medford 92
Redwood City 89
Rome 81
Des Moines 78
Marseille 70
Abidjan 69
Bern 69
Pisa 60
Dearborn 55
Jüchen 50
São Paulo 44
Ho Chi Minh City 41
Redondo Beach 41
Boulder 40
Nanchang 40
Dong Ket 39
Istanbul 39
Bologna 37
Council Bluffs 36
Buffalo 35
Munich 34
Tokyo 30
Kunming 27
Columbus 25
Viareggio 25
Baton Rouge 24
Casablanca 24
Hebei 24
Shenyang 24
Brussels 23
Changsha 23
Lagos 23
Hanoi 22
Ogden 22
San Diego 22
Jakarta 20
Belo Horizonte 18
Tashkent 18
The Dalles 18
Jiaxing 17
Kent 17
San Jose 17
Auburn Hills 16
Tianjin 16
Falls Church 15
Hangzhou 15
Phoenix 15
Helsinki 14
Paris 14
Rio de Janeiro 14
Pune 13
Warsaw 13
Brasília 12
Dhaka 12
Montreal 12
Norwalk 12
Nuremberg 12
Washington 12
Campinas 11
Lima 11
Nairobi 11
Porto Alegre 11
San Francisco 11
Toronto 11
Zhengzhou 11
Totale 13.641
Nome #
Nonparametric M-quantile Regression via Penalized Splines 1.585
Weighted estimation in multilevel ordinal and binary models in the presence of informative sampling designs 478
Small area model-based estimators using big data sources 324
Small area estimation based on M-quantile models in presence of outliers in auxiliary variables 284
Poverty Indicators at Local Level: Definitions, Comparisons in Real Terms and Small Area Estimation Methods 281
M-quantile Models with Application to Small Area Estimation and Poverty Mapping 238
M-quantile Geographically Weighted Models with Application to Small Area Estimation 227
Small Area Estimation of Poverty Indicators 227
Semiparametric Fay-Herriot model using Penalized Splines 227
M-Quantile Small Area Models for Measuring Poverty at a Local LeveI 227
Spatial Disaggregation and Small-Area Estimation Methods for Agricultural Surveys: Solutions and Perspectives 224
Spatial Distribution of Multidimensional Educational Poverty in Italy using Small Area Estimation 223
M-quantile Geographically Weighted Models with Application to Small Area Estimation 218
The use of Twitter data to improve small area estimates of households’ share of food consumption expenditure in Italy 211
Tools to predicting binary states on the human Y chromosome from STR data 210
M-quantile small area models when auxiliary variables are measured with error 209
Resistance to outliers of M-quantile and robust random effects small area models 200
Missing Data and Small-Area Estimation: Modern Analytical Equipment for the Survey Statistician 197
Small Area Estimation Via M-quantile Geographically Weighted Regression 197
Lack of concordance between the 75g and 100g Glucose Load Tests for the diagnosis of the gestational diabetes mellitus 196
Local Comparisons of Small Area Estimates of Poverty: An Application Within the Tuscany Region in Italy 196
Semiparametric M-quantile regression for estimating the proportion of acidic lakes in 8-digit HUCs of the Northeastern US 186
Analysis of Poverty Data by Small Area Estimation 185
Do Quality of Services and Institutional Image Impact Students’ Satisfaction and Loyalty in Higher Education? 184
Spatial EBLUP in agricultural survey. An application based on Census data 177
Local stationarity in small area estimation models 176
Bootstrap for estimating the mean squared error of the Spatial Eblup 171
Small area model-based estimators using big data sources 169
Robust Small Area Estimation and Oversampling in the Estimation of Poverty Indicators 168
Small Area Estimation: the EBLUP estimator based on spatially correlated random area effects 168
Bootstrap for estimating the mean squared error of the Spatial EBLUP 167
Small area model-based estimators using big data sources 167
Alcuni disegni di campionamento areale per le indagini su imprese non agricole 166
Estimation of poverty indicators at the small area level in Italy 164
A Sample Survey on Inactive Students: Weighting Issues in Modelling the Inactivity Status 163
Studio comparato sul tema della distribuzione dei prodotti realizzati con il lavoro dei detenuti 161
Two-step centre sampling for estimating the size, total and mean of elusive population 160
The Use of Spatial Information for the Estimation of Poverty Indicators at the Small Area Level 158
Small area estimation: EBLUP estimator with autoregressive random area effects 157
Small area estimation of the mean using nonparametric M-quantile regression: a comparison when a linear mixed model does not hold 157
Nonparametric M-quantile regression using penalised splines 156
The over-shrinkage effect of EBLUP and M-quantile: problems for the estimation of Small Area Parameters 155
Pilot Application 155
Estimation of income quantiles at the small area level in Tuscany 153
Software on Small Area Estimation 152
Composite indicators of poverty in the small area case 152
The use of twitter data to improve small area estimates of households' share of food consumption expenditure in Italy 152
Centre sampling for estimating elusive population size 151
InGRID Deliverable 23.1.: Case studies 150
Improving small area estimates of households’ share of food consumption expenditure in Italy by means of Twitter data 150
A Comparison of the ELL, EBP and M-Quantile Poverty Mapping Methodologies 149
Small area models for analysing job placement survey data of the STELLA consortium 149
Introduction on measuring poverty at local level using SAE methods 148
Final Small Area Estimation Developments and Simulation Results 147
Small Area Estimation: the EBLUP estimator with autoregressive random area effects 146
Constrained Small Area Estimators Based on M-Quantile Methods 146
Bayesian tools to predict binary mutations on the human Y chromosome on the basis of STR haplotypes 144
Il biglietto di accesso ai parchi naturali? Un'indagine per valutare la disponibilità dei fruitori a pagarlo per visitare il parco 143
Spatial network sampling in small area estimation 141
Measuring Educational Poverty in Italy: A Multi-Dimensional and Fuzzy Approach 141
Two Step Centre Sampling for Estimating Elusive Population Size 140
Small area estimation in the presence of correlated random area effects 139
EDI and Business Statistics 137
Design consistent small area estimators based on M-quantile regression 136
null 136
Constrained Small Area Estimators Based on M-Quantile Methods 135
Bootstrap estimation of the mean squared error under a Spatial Fay-Herriot model 134
Bootstrap mean squared error estimation for small area quantiles 134
Resistance to outliers of M-quantile and robust random effects small area models 134
Estimation of poverty indicators: a comparison of small area methods at LAU1-2 level in Tuscany 133
Resistance to outliers of M-quantile and robust random effect small area estimation models 132
Small area estimation of the mean using nonparametric M-quantile regression: a comparison when a linear mixed model does not hold 131
A semiparametric Fay-Herriot model for estimating poverty measures at LAU 1-2 level in Italy 131
Design consistent small area estimators based on M-quantile regression 131
Geographic Information in Small Area Estimation: Small Area Models and Spatially Correlated Random Area Effects 131
Small area models for unemployment rate estimation at sub-provincial areas in Italy 129
Measuring poverty indicators at a local level 128
A nonparametric Fay-Herriot model for small area estimation of welfare indicators 127
Disuguaglianze territoriali nella distribuzione dei redditi familiari di mercato e disponibili 127
null 126
Does uncertainty in single indicators affect the reliability of composite indexes? An application to the measurement of environmental performances of Italian regions 126
Internet surveys: the role of time in italian firms response behaviour 125
Spatial EBLUP in agricultural survey. An application based on Census data 125
Small Area Methodology in Poverty Mapping: An introductory overview 124
The use of big data and survey data as covariates in area-level small area models 124
Estimation of poverty indicators in Italy: a small area M-Quantile based approach 123
Small Area Estimation Assisted by Spatial model 122
Small area estimation of agricultural data 122
Disaggregation of poverty indicators by small area methods for assessing the targeting of the "Reddito di Cittadinanza" national policy in Italy 121
Semiparametric M-quantile Regression using Penalized Splines 120
Bootstrap for estimating the mean squared error of the Spatial EBLUP 119
La stima per piccole aree non rappresentate nel campione: il caso della produzione di uva nei comuni della toscana 117
Resisting the extortion racket: an empirical analysis 117
Spatial Models in Small Area Estimation: an M-quantile Approach 116
Small area methods in the estimation of poverty indicators: the case of Tuscany 116
Literature Review - Vol II 116
null 113
Metodi di stima in presenza di errori non campionari 111
Recent advances in small area methodologies for poverty estimation 108
Robust prediction of small area means and distributions 108
Totale 17.587
Categoria #
all - tutte 49.242
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 49.242


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021693 0 0 0 0 0 65 131 89 88 92 107 121
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
2025/20262.411 233 538 391 487 462 300 0 0 0 0 0 0
Totale 21.355