PRATESI, MONICA
 Distribuzione geografica
Continente #
NA - Nord America 9.054
EU - Europa 6.574
AS - Asia 4.571
SA - Sud America 731
AF - Africa 312
OC - Oceania 20
Continente sconosciuto - Info sul continente non disponibili 6
Totale 21.268
Nazione #
US - Stati Uniti d'America 8.699
IT - Italia 2.403
PL - Polonia 1.495
CN - Cina 1.443
SG - Singapore 1.318
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 187
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 21.250
Città #
Woodbridge 1.235
Hong Kong 884
Ann Arbor 811
Ashburn 762
Serra 702
Singapore 691
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
San Jose 92
Redwood City 89
Rome 83
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
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 13.747
Nome #
Nonparametric M-quantile Regression via Penalized Splines 1.586
Weighted estimation in multilevel ordinal and binary models in the presence of informative sampling designs 479
Small area model-based estimators using big data sources 326
Small area estimation based on M-quantile models in presence of outliers in auxiliary variables 287
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 239
M-quantile Geographically Weighted Models with Application to Small Area Estimation 228
Small Area Estimation of Poverty Indicators 228
Semiparametric Fay-Herriot model using Penalized Splines 228
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 225
Spatial Distribution of Multidimensional Educational Poverty in Italy using Small Area Estimation 224
M-quantile Geographically Weighted Models with Application to Small Area Estimation 219
The use of Twitter data to improve small area estimates of households’ share of food consumption expenditure in Italy 212
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 210
Resistance to outliers of M-quantile and robust random effects small area models 201
Missing Data and Small-Area Estimation: Modern Analytical Equipment for the Survey Statistician 198
Small Area Estimation Via M-quantile Geographically Weighted Regression 198
Lack of concordance between the 75g and 100g Glucose Load Tests for the diagnosis of the gestational diabetes mellitus 197
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 187
Analysis of Poverty Data by Small Area Estimation 186
Do Quality of Services and Institutional Image Impact Students’ Satisfaction and Loyalty in Higher Education? 185
Spatial EBLUP in agricultural survey. An application based on Census data 178
Local stationarity in small area estimation models 177
Small area model-based estimators using big data sources 172
Bootstrap for estimating the mean squared error of the Spatial Eblup 171
Alcuni disegni di campionamento areale per le indagini su imprese non agricole 169
Robust Small Area Estimation and Oversampling in the Estimation of Poverty Indicators 169
Bootstrap for estimating the mean squared error of the Spatial EBLUP 168
Small Area Estimation: the EBLUP estimator based on spatially correlated random area effects 168
Small area model-based estimators using big data sources 168
Estimation of poverty indicators at the small area level in Italy 165
A Sample Survey on Inactive Students: Weighting Issues in Modelling the Inactivity Status 164
Studio comparato sul tema della distribuzione dei prodotti realizzati con il lavoro dei detenuti 162
The Use of Spatial Information for the Estimation of Poverty Indicators at the Small Area Level 161
Two-step centre sampling for estimating the size, total and mean of elusive population 160
Small area estimation: EBLUP estimator with autoregressive random area effects 160
Small area estimation of the mean using nonparametric M-quantile regression: a comparison when a linear mixed model does not hold 158
The over-shrinkage effect of EBLUP and M-quantile: problems for the estimation of Small Area Parameters 157
Pilot Application 156
Nonparametric M-quantile regression using penalised splines 156
Centre sampling for estimating elusive population size 153
Software on Small Area Estimation 153
Estimation of income quantiles at the small area level in Tuscany 153
The use of twitter data to improve small area estimates of households' share of food consumption expenditure in Italy 153
InGRID Deliverable 23.1.: Case studies 152
Composite indicators of poverty in the small area case 152
A Comparison of the ELL, EBP and M-Quantile Poverty Mapping Methodologies 151
Small area models for analysing job placement survey data of the STELLA consortium 150
Improving small area estimates of households’ share of food consumption expenditure in Italy by means of Twitter data 150
Introduction on measuring poverty at local level using SAE methods 149
Small Area Estimation: the EBLUP estimator with autoregressive random area effects 148
Final Small Area Estimation Developments and Simulation Results 148
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 145
Spatial network sampling in small area estimation 143
Il biglietto di accesso ai parchi naturali? Un'indagine per valutare la disponibilità dei fruitori a pagarlo per visitare il parco 143
Measuring Educational Poverty in Italy: A Multi-Dimensional and Fuzzy Approach 142
Two Step Centre Sampling for Estimating Elusive Population Size 141
Small area estimation in the presence of correlated random area effects 141
Design consistent small area estimators based on M-quantile regression 139
EDI and Business Statistics 138
Constrained Small Area Estimators Based on M-Quantile Methods 136
Bootstrap mean squared error estimation for small area quantiles 136
null 136
Resistance to outliers of M-quantile and robust random effect small area estimation models 135
Estimation of poverty indicators: a comparison of small area methods at LAU1-2 level in Tuscany 135
Resistance to outliers of M-quantile and robust random effects small area models 135
Bootstrap estimation of the mean squared error under a Spatial Fay-Herriot model 134
A semiparametric Fay-Herriot model for estimating poverty measures at LAU 1-2 level in Italy 133
Small area estimation of the mean using nonparametric M-quantile regression: a comparison when a linear mixed model does not hold 132
Design consistent small area estimators based on M-quantile regression 132
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 130
Disuguaglianze territoriali nella distribuzione dei redditi familiari di mercato e disponibili 130
Measuring poverty indicators at a local level 129
A nonparametric Fay-Herriot model for small area estimation of welfare indicators 128
Internet surveys: the role of time in italian firms response behaviour 127
Does uncertainty in single indicators affect the reliability of composite indexes? An application to the measurement of environmental performances of Italian regions 127
Spatial EBLUP in agricultural survey. An application based on Census data 126
null 126
Small Area Estimation Assisted by Spatial model 125
Small Area Methodology in Poverty Mapping: An introductory overview 125
The use of big data and survey data as covariates in area-level small area models 125
Estimation of poverty indicators in Italy: a small area M-Quantile based approach 124
Disaggregation of poverty indicators by small area methods for assessing the targeting of the "Reddito di Cittadinanza" national policy in Italy 123
Small area estimation of agricultural data 123
Semiparametric M-quantile Regression using Penalized Splines 121
La stima per piccole aree non rappresentate nel campione: il caso della produzione di uva nei comuni della toscana 120
Bootstrap for estimating the mean squared error of the Spatial EBLUP 120
Resisting the extortion racket: an empirical analysis 119
Spatial Models in Small Area Estimation: an M-quantile Approach 118
Literature Review - Vol II 118
Small area methods in the estimation of poverty indicators: the case of Tuscany 117
null 113
Metodi di stima in presenza di errori non campionari 113
Mean Squared Error Estimation for Small Area Means, Quantiles and Poverty Indicators: A nonparametric bootstrap approach 111
Recent advances in small area methodologies for poverty estimation 110
Totale 17.709
Categoria #
all - tutte 49.746
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 49.746


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021628 0 0 0 0 0 0 131 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
2025/20262.602 233 538 391 487 462 401 90 0 0 0 0 0
Totale 21.546