CINECA IRIS Institutional Research Information System

PRATESI, MONICA
 Distribuzione geografica
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Continente #
NA - Nord America 7.044
EU - Europa 5.969
AS - Asia 1.582
AF - Africa 220
SA - Sud America 49
OC - Oceania 18
Continente sconosciuto - Info sul continente non disponibili 5
Totale 14.887
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Nazione #
US - Stati Uniti d'America 6.769
IT - Italia 2.302
PL - Polonia 1.480
CN - Cina 701
SE - Svezia 596
DE - Germania 436
SG - Singapore 394
BG - Bulgaria 323
CA - Canada 259
GB - Regno Unito 181
UA - Ucraina 169
TR - Turchia 158
FI - Finlandia 140
SN - Senegal 100
FR - Francia 98
VN - Vietnam 90
CH - Svizzera 71
CI - Costa d'Avorio 68
HK - Hong Kong 59
ID - Indonesia 57
IN - India 35
RU - Federazione Russa 31
BE - Belgio 26
ES - Italia 23
BR - Brasile 22
NG - Nigeria 22
GR - Grecia 20
KR - Corea 18
NL - Olanda 16
PH - Filippine 14
AU - Australia 13
JP - Giappone 13
MX - Messico 13
RO - Romania 12
CZ - Repubblica Ceca 11
ZA - Sudafrica 10
PE - Perù 8
CO - Colombia 7
IE - Irlanda 7
MY - Malesia 7
AT - Austria 6
IR - Iran 6
CL - Cile 5
EC - Ecuador 5
EU - Europa 5
NZ - Nuova Zelanda 5
PK - Pakistan 5
SI - Slovenia 5
TW - Taiwan 5
BJ - Benin 4
EG - Egitto 4
PT - Portogallo 4
BD - Bangladesh 3
BW - Botswana 3
IL - Israele 3
MO - Macao, regione amministrativa speciale della Cina 3
TH - Thailandia 3
AR - Argentina 2
BY - Bielorussia 2
ET - Etiopia 2
GH - Ghana 2
HU - Ungheria 2
LT - Lituania 2
MA - Marocco 2
SA - Arabia Saudita 2
SK - Slovacchia (Repubblica Slovacca) 2
UZ - Uzbekistan 2
AE - Emirati Arabi Uniti 1
AM - Armenia 1
BA - Bosnia-Erzegovina 1
DK - Danimarca 1
GL - Groenlandia 1
JM - Giamaica 1
JO - Giordania 1
KE - Kenya 1
LC - Santa Lucia 1
MD - Moldavia 1
NO - Norvegia 1
OM - Oman 1
TZ - Tanzania 1
ZW - Zimbabwe 1
Totale 14.887
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Città #
Woodbridge 1.219
Ann Arbor 800
Serra 700
Chandler 520
Houston 516
Milan 371
Fairfield 361
Sofia 323
Ashburn 291
Salerno 244
Beijing 243
Jacksonville 237
Ottawa 223
Singapore 204
New York 191
Wilmington 175
Boardman 167
Seattle 161
Santa Clara 158
Princeton 137
Lawrence 127
Cambridge 126
Nanjing 114
Izmir 111
Frankfurt am Main 101
Florence 100
Dakar 99
Chicago 97
Medford 91
Redwood City 88
Des Moines 77
Rome 73
Marseille 69
Abidjan 68
Bern 67
Dearborn 53
Hong Kong 52
Pisa 52
Jüchen 49
London 46
Boulder 40
Dong Ket 39
Nanchang 39
Istanbul 35
Bologna 33
Shanghai 27
Baton Rouge 24
Hebei 24
Kunming 24
Shenyang 24
Brussels 23
Changsha 23
Ogden 22
San Diego 22
Lagos 21
Los Angeles 20
Hefei 17
Jakarta 17
Kent 17
Auburn Hills 16
Jiaxing 16
Falls Church 15
Hangzhou 15
Viareggio 15
Tianjin 14
Norwalk 12
Pune 12
Washington 11
Düsseldorf 10
Fiuggi 10
Quanzhou 9
San Giuliano 9
Sesto Fiorentino 9
Terranuova Bracciolini 9
Verona 9
Asciano 8
Berlin 8
Brierley Hill 8
Campi Bisenzio 8
Fuzhou 8
Jinan 8
Orange 8
Zhengzhou 8
Campiglia Marittima 7
Lima 7
Nürnberg 7
Phoenix 7
Tokyo 7
Toronto 7
Torun 7
Viterbo 7
Bari 6
Bolzano 6
Catanzaro 6
Chengdu 6
Cuauhtémoc 6
Dallas 6
Dublin 6
Glasgow 6
Guangzhou 6
Totale 9.757
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Nome #
Nonparametric M-quantile Regression via Penalized Splines 1.545
Weighted estimation in multilevel ordinal and binary models in the presence of informative sampling designs 420
Small area model-based estimators using big data sources 260
Small area estimation based on M-quantile models in presence of outliers in auxiliary variables 242
Poverty Indicators at Local Level: Definitions, Comparisons in Real Terms and Small Area Estimation Methods 204
M-quantile Models with Application to Small Area Estimation and Poverty Mapping 180
The use of Twitter data to improve small area estimates of households’ share of food consumption expenditure in Italy 180
Small Area Estimation of Poverty Indicators 178
Tools to predicting binary states on the human Y chromosome from STR data 174
M-Quantile Small Area Models for Measuring Poverty at a Local LeveI 166
M-quantile Geographically Weighted Models with Application to Small Area Estimation 165
Small Area Estimation Via M-quantile Geographically Weighted Regression 165
Semiparametric Fay-Herriot model using Penalized Splines 164
Lack of concordance between the 75g and 100g Glucose Load Tests for the diagnosis of the gestational diabetes mellitus 159
Resistance to outliers of M-quantile and robust random effects small area models 159
Missing Data and Small-Area Estimation: Modern Analytical Equipment for the Survey Statistician 157
M-quantile Geographically Weighted Models with Application to Small Area Estimation 156
Semiparametric M-quantile regression for estimating the proportion of acidic lakes in 8-digit HUCs of the Northeastern US 154
Spatial Disaggregation and Small-Area Estimation Methods for Agricultural Surveys: Solutions and Perspectives 153
Local Comparisons of Small Area Estimates of Poverty: An Application Within the Tuscany Region in Italy 152
M-quantile small area models when auxiliary variables are measured with error 148
Do Quality of Services and Institutional Image Impact Students’ Satisfaction and Loyalty in Higher Education? 148
Bootstrap for estimating the mean squared error of the Spatial Eblup 140
Small area model-based estimators using big data sources 137
null 136
Analysis of Poverty Data by Small Area Estimation 134
Small Area Estimation: the EBLUP estimator based on spatially correlated random area effects 132
Small area model-based estimators using big data sources 132
Local stationarity in small area estimation models 132
Estimation of poverty indicators at the small area level in Italy 130
The Use of Spatial Information for the Estimation of Poverty Indicators at the Small Area Level 129
Robust Small Area Estimation and Oversampling in the Estimation of Poverty Indicators 126
null 126
Small area estimation of the mean using nonparametric M-quantile regression: a comparison when a linear mixed model does not hold 126
Small area estimation: EBLUP estimator with autoregressive random area effects 124
Nonparametric M-quantile regression using penalised splines 123
Bootstrap for estimating the mean squared error of the Spatial EBLUP 122
Estimation of income quantiles at the small area level in Tuscany 122
Two-step centre sampling for estimating the size, total and mean of elusive population 118
Software on Small Area Estimation 118
Spatial EBLUP in agricultural survey. An application based on Census data 116
Pilot Application 115
Centre sampling for estimating elusive population size 114
Final Small Area Estimation Developments and Simulation Results 114
Spatial Distribution of Multidimensional Educational Poverty in Italy using Small Area Estimation 114
Constrained Small Area Estimators Based on M-Quantile Methods 113
null 113
A Comparison of the ELL, EBP and M-Quantile Poverty Mapping Methodologies 113
The use of twitter data to improve small area estimates of households' share of food consumption expenditure in Italy 113
The over-shrinkage effect of EBLUP and M-quantile: problems for the estimation of Small Area Parameters 109
Improving small area estimates of households’ share of food consumption expenditure in Italy by means of Twitter data 108
Small area models for analysing job placement survey data of the STELLA consortium 107
Il biglietto di accesso ai parchi naturali? Un'indagine per valutare la disponibilità dei fruitori a pagarlo per visitare il parco 107
Two Step Centre Sampling for Estimating Elusive Population Size 105
Spatial network sampling in small area estimation 105
Design consistent small area estimators based on M-quantile regression 104
Bootstrap estimation of the mean squared error under a Spatial Fay-Herriot model 103
Small area estimation in the presence of correlated random area effects 103
Bootstrap mean squared error estimation for small area quantiles 102
A Sample Survey on Inactive Students: Weighting Issues in Modelling the Inactivity Status 102
Resistance to outliers of M-quantile and robust random effects small area models 101
Alcuni disegni di campionamento areale per le indagini su imprese non agricole 100
Studio comparato sul tema della distribuzione dei prodotti realizzati con il lavoro dei detenuti 99
Small Area Estimation: the EBLUP estimator with autoregressive random area effects 98
Constrained Small Area Estimators Based on M-Quantile Methods 98
Design consistent small area estimators based on M-quantile regression 98
Introduction on measuring poverty at local level using SAE methods 98
Composite indicators of poverty in the small area case 98
Small Area Methodology in Poverty Mapping: An introductory overview 97
Estimation of poverty indicators: a comparison of small area methods at LAU1-2 level in Tuscany 96
Small area estimation of the mean using nonparametric M-quantile regression: a comparison when a linear mixed model does not hold 96
A nonparametric Fay-Herriot model for small area estimation of welfare indicators 96
Internet surveys: the role of time in italian firms response behaviour 95
A semiparametric Fay-Herriot model for estimating poverty measures at LAU 1-2 level in Italy 94
Disuguaglianze territoriali nella distribuzione dei redditi familiari di mercato e disponibili 94
Resistance to outliers of M-quantile and robust random effect small area estimation models 93
EDI and Business Statistics 92
Estimation of poverty indicators in Italy: a small area M-Quantile based approach 90
InGRID Deliverable 23.1.: Case studies 90
Small Area Estimation Assisted by Spatial model 89
Bootstrap for estimating the mean squared error of the Spatial EBLUP 89
Semiparametric M-quantile Regression using Penalized Splines 88
Spatial Models in Small Area Estimation: an M-quantile Approach 88
Spatial EBLUP in agricultural survey. An application based on Census data 84
Metodi di stima in presenza di errori non campionari 83
Literature Review - Vol II 83
Measuring poverty indicators at a local level 83
Recent advances in small area methodologies for poverty estimation 81
Geographic Information in Small Area Estimation: Small Area Models and Spatially Correlated Random Area Effects 81
Mean Squared Error Estimation for Small Area Means, Quantiles and Poverty Indicators: A nonparametric bootstrap approach 79
Resisting the extortion racket: an empirical analysis 78
Small area models for unemployment rate estimation at sub-provincial areas in Italy 77
Robust prediction of small area means and distributions 76
List based Web surveys: quality, timeliness and nonresponse in the steps of the participation flow 76
La stima per piccole aree non rappresentate nel campione: il caso della produzione di uva nei comuni della toscana 74
Estimation of a population size by capture recapture heterogeneity models: an application to a closed population of firms with two dependent captures 74
Small area head count ratio standard error estimation 73
Measuring Educational Poverty in Italy: A Multi-Dimensional and Fuzzy Approach 73
Robust Small Area Estimation for Poverty Indicators 72
Robust small area estimation: a comparison between robust random effects and M-quantile small area models 71
Totale 13.411
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Categoria #
all - tutte 32.417
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 32.417
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/2020949 0 0 0 0 122 141 163 89 137 94 166 37
2020/20211.022 108 31 58 30 104 65 130 89 88 92 107 120
2021/20221.475 43 134 29 77 253 182 58 73 92 48 135 351
2022/20231.900 217 208 118 147 158 275 18 104 501 10 114 30
2023/20243.099 189 167 213 115 225 225 100 61 36 1.511 53 204
2024/2025770 57 176 189 192 156 0 0 0 0 0 0 0
Totale 15.122