PRATESI, MONICA
 Distribuzione geografica
Continente #
NA - Nord America 9.930
EU - Europa 6.890
AS - Asia 5.117
SA - Sud America 773
AF - Africa 344
OC - Oceania 21
Continente sconosciuto - Info sul continente non disponibili 6
Totale 23.081
Nazione #
US - Stati Uniti d'America 9.547
IT - Italia 2.474
SG - Singapore 1.503
PL - Polonia 1.497
CN - Cina 1.496
HK - Hong Kong 910
BR - Brasile 623
SE - Svezia 607
DE - Germania 538
VN - Vietnam 327
BG - Bulgaria 326
GB - Regno Unito 317
CA - Canada 301
FR - Francia 255
FI - Finlandia 182
TR - Turchia 179
UA - Ucraina 179
RU - Federazione Russa 146
KR - Corea 138
JP - Giappone 112
IN - India 104
SN - Senegal 104
CH - Svizzera 101
NL - Olanda 82
ID - Indonesia 79
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
GR - Grecia 22
EC - Ecuador 21
SA - Arabia Saudita 21
PK - Pakistan 20
AT - Austria 19
CO - Colombia 19
MY - Malesia 19
PH - Filippine 19
KE - Kenya 17
AU - Australia 15
PE - Perù 15
CZ - Repubblica Ceca 14
RO - Romania 13
CL - Cile 11
IE - Irlanda 10
IR - Iran 10
EG - Egitto 9
IL - Israele 9
LT - Lituania 9
ET - Etiopia 8
TW - Taiwan 8
JM - Giamaica 7
TN - Tunisia 7
JO - Giordania 6
PY - Paraguay 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
TH - Thailandia 5
AM - Armenia 4
BJ - Benin 4
BY - Bielorussia 4
DZ - Algeria 4
NI - Nicaragua 4
NP - Nepal 4
OM - Oman 4
TZ - Tanzania 4
UY - Uruguay 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
TT - Trinidad e Tobago 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
PS - Palestinian Territory 2
Totale 23.044
Città #
Woodbridge 1.235
Hong Kong 895
Ashburn 836
Singapore 835
Ann Arbor 811
Serra 702
Santa Clara 661
San Jose 563
Chandler 528
Houston 523
Milan 390
Fairfield 361
Beijing 330
Sofia 326
Shanghai 324
Dallas 272
Salerno 246
Jacksonville 243
Ottawa 227
New York 224
Boardman 184
Wilmington 176
Seattle 164
Hefei 152
Los Angeles 138
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 98
Rome 93
Medford 92
Ho Chi Minh City 90
Redwood City 89
Des Moines 78
Pisa 73
Marseille 70
Abidjan 69
Bern 69
Hanoi 58
Council Bluffs 57
Dearborn 55
Jüchen 50
São Paulo 45
Redondo Beach 41
Bologna 40
Boulder 40
Nanchang 40
Dong Ket 39
Istanbul 39
Buffalo 37
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
Tashkent 21
Chennai 19
Belo Horizonte 18
Phoenix 18
The Dalles 18
Jiaxing 17
Kent 17
Auburn Hills 16
Paris 16
Tianjin 16
Falls Church 15
Hangzhou 15
Manchester 15
Nairobi 15
Warsaw 15
Rio de Janeiro 14
Baltimore 13
Brasília 13
Brooklyn 13
Da Nang 13
Dhaka 13
Montreal 13
Nuremberg 13
Pune 13
Totale 14.925
Nome #
Nonparametric M-quantile Regression via Penalized Splines 1.595
Weighted estimation in multilevel ordinal and binary models in the presence of informative sampling designs 495
Small area model-based estimators using big data sources 345
Poverty Indicators at Local Level: Definitions, Comparisons in Real Terms and Small Area Estimation Methods 302
Small area estimation based on M-quantile models in presence of outliers in auxiliary variables 301
M-quantile Models with Application to Small Area Estimation and Poverty Mapping 258
Spatial Distribution of Multidimensional Educational Poverty in Italy using Small Area Estimation 249
Semiparametric Fay-Herriot model using Penalized Splines 247
M-Quantile Small Area Models for Measuring Poverty at a Local LeveI 247
M-quantile Geographically Weighted Models with Application to Small Area Estimation 244
M-quantile Geographically Weighted Models with Application to Small Area Estimation 243
Small Area Estimation of Poverty Indicators 242
Spatial Disaggregation and Small-Area Estimation Methods for Agricultural Surveys: Solutions and Perspectives 242
M-quantile small area models when auxiliary variables are measured with error 226
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 211
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 206
Do Quality of Services and Institutional Image Impact Students’ Satisfaction and Loyalty in Higher Education? 205
Lack of concordance between the 75g and 100g Glucose Load Tests for the diagnosis of the gestational diabetes mellitus 202
Analysis of Poverty Data by Small Area Estimation 202
Semiparametric M-quantile regression for estimating the proportion of acidic lakes in 8-digit HUCs of the Northeastern US 196
Local stationarity in small area estimation models 191
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 183
Small area model-based estimators using big data sources 183
Bootstrap for estimating the mean squared error of the Spatial Eblup 182
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 179
Bootstrap for estimating the mean squared error of the Spatial EBLUP 178
Robust Small Area Estimation and Oversampling in the Estimation of Poverty Indicators 177
InGRID Deliverable 23.1.: Case studies 176
Pilot Application 175
A Sample Survey on Inactive Students: Weighting Issues in Modelling the Inactivity Status 175
Small area estimation: EBLUP estimator with autoregressive random area effects 173
Estimation of poverty indicators at the small area level in Italy 173
A Comparison of the ELL, EBP and M-Quantile Poverty Mapping Methodologies 171
Improving small area estimates of households’ share of food consumption expenditure in Italy by means of Twitter data 170
The Use of Spatial Information for the Estimation of Poverty Indicators at the Small Area Level 169
The over-shrinkage effect of EBLUP and M-quantile: problems for the estimation of Small Area Parameters 168
Studio comparato sul tema della distribuzione dei prodotti realizzati con il lavoro dei detenuti 168
Small area estimation of the mean using nonparametric M-quantile regression: a comparison when a linear mixed model does not hold 167
Software on Small Area Estimation 166
Constrained Small Area Estimators Based on M-Quantile Methods 165
Introduction on measuring poverty at local level using SAE methods 164
The use of twitter data to improve small area estimates of households' share of food consumption expenditure in Italy 164
Nonparametric M-quantile regression using penalised splines 164
Estimation of income quantiles at the small area level in Tuscany 163
Small area models for analysing job placement survey data of the STELLA consortium 162
Composite indicators of poverty in the small area case 160
Centre sampling for estimating elusive population size 159
Spatial network sampling in small area estimation 159
Small Area Estimation: the EBLUP estimator with autoregressive random area effects 158
Il biglietto di accesso ai parchi naturali? Un'indagine per valutare la disponibilità dei fruitori a pagarlo per visitare il parco 158
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
Measuring Educational Poverty in Italy: A Multi-Dimensional and Fuzzy Approach 153
Two Step Centre Sampling for Estimating Elusive Population Size 152
Small area estimation of the mean using nonparametric M-quantile regression: a comparison when a linear mixed model does not hold 151
Small area estimation in the presence of correlated random area effects 151
Does uncertainty in single indicators affect the reliability of composite indexes? An application to the measurement of environmental performances of Italian regions 149
A semiparametric Fay-Herriot model for estimating poverty measures at LAU 1-2 level in Italy 147
Estimation of poverty indicators: a comparison of small area methods at LAU1-2 level in Tuscany 146
Constrained Small Area Estimators Based on M-Quantile Methods 145
Design consistent small area estimators based on M-quantile regression 145
Resistance to outliers of M-quantile and robust random effects small area models 145
EDI and Business Statistics 144
Resistance to outliers of M-quantile and robust random effect small area estimation models 143
Bootstrap estimation of the mean squared error under a Spatial Fay-Herriot model 143
Design consistent small area estimators based on M-quantile regression 143
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 139
Disaggregation of poverty indicators by small area methods for assessing the targeting of the "Reddito di Cittadinanza" national policy in Italy 138
Internet surveys: the role of time in italian firms response behaviour 138
Small Area Estimation Assisted by Spatial model 138
A nonparametric Fay-Herriot model for small area estimation of welfare indicators 138
Spatial EBLUP in agricultural survey. An application based on Census data 137
null 136
Measuring poverty indicators at a local level 136
Small area models for unemployment rate estimation at sub-provincial areas in Italy 135
Estimation of poverty indicators in Italy: a small area M-Quantile based approach 135
Small Area Methodology in Poverty Mapping: An introductory overview 135
Small area estimation of agricultural data 135
The use of big data and survey data as covariates in area-level small area models 133
Literature Review - Vol II 130
La stima per piccole aree non rappresentate nel campione: il caso della produzione di uva nei comuni della toscana 129
Spatial Models in Small Area Estimation: an M-quantile Approach 127
Resisting the extortion racket: an empirical analysis 127
Small area methods in the estimation of poverty indicators: the case of Tuscany 126
null 126
Bootstrap for estimating the mean squared error of the Spatial EBLUP 126
Mean Squared Error Estimation for Small Area Means, Quantiles and Poverty Indicators: A nonparametric bootstrap approach 125
Semiparametric M-quantile Regression using Penalized Splines 124
Robust prediction of small area means and distributions 121
Recent advances in small area methodologies for poverty estimation 118
Metodi di stima in presenza di errori non campionari 118
Totale 18.883
Categoria #
all - tutte 55.237
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 55.237


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
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
2025/20264.387 233 538 391 487 462 401 643 264 243 460 205 60
2026/202728 28 0 0 0 0 0 0 0 0 0 0 0
Totale 23.359