IRIS Institutional Research Information System - AIR Archivio Istituzionale della Ricerca

BARBIERO, ALESSANDRO
 Distribuzione geografica
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Continente #
EU - Europa 9.210
NA - Nord America 5.485
AS - Asia 5.337
SA - Sud America 431
AF - Africa 203
OC - Oceania 62
Continente sconosciuto - Info sul continente non disponibili 6
Totale 20.734
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Nazione #
US - Stati Uniti d'America 5.220
GB - Regno Unito 4.653
IT - Italia 1.728
SG - Singapore 1.540
CN - Cina 1.428
DE - Germania 645
RU - Federazione Russa 464
SE - Svezia 459
HK - Hong Kong 431
IN - India 383
FR - Francia 343
VN - Vietnam 321
BR - Brasile 290
TR - Turchia 233
BD - Bangladesh 227
CA - Canada 172
IE - Irlanda 161
ID - Indonesia 155
KR - Corea 142
NL - Olanda 119
FI - Finlandia 100
JP - Giappone 97
GR - Grecia 61
BG - Bulgaria 59
DK - Danimarca 58
AU - Australia 55
PK - Pakistan 54
UA - Ucraina 52
ES - Italia 46
IR - Iran 45
EG - Egitto 39
TW - Taiwan 38
CO - Colombia 37
MY - Malesia 37
ZA - Sudafrica 34
MX - Messico 33
PL - Polonia 33
MA - Marocco 32
NG - Nigeria 32
EU - Europa 31
CL - Cile 29
AR - Argentina 27
PH - Filippine 27
CH - Svizzera 26
IQ - Iraq 26
BE - Belgio 25
AT - Austria 22
SA - Arabia Saudita 22
RS - Serbia 21
NO - Norvegia 19
NP - Nepal 18
EC - Ecuador 16
LU - Lussemburgo 15
RO - Romania 15
TH - Thailandia 15
LT - Lituania 14
PT - Portogallo 14
JM - Giamaica 12
AE - Emirati Arabi Uniti 11
JO - Giordania 11
VE - Venezuela 11
HU - Ungheria 10
BO - Bolivia 9
CZ - Repubblica Ceca 9
ET - Etiopia 9
TN - Tunisia 9
TT - Trinidad e Tobago 9
KE - Kenya 8
KZ - Kazakistan 8
UZ - Uzbekistan 8
BH - Bahrain 6
GE - Georgia 6
NZ - Nuova Zelanda 6
SC - Seychelles 6
BA - Bosnia-Erzegovina 5
BB - Barbados 5
BY - Bielorussia 5
CR - Costa Rica 5
DZ - Algeria 5
HN - Honduras 5
HR - Croazia 5
IL - Israele 5
NI - Nicaragua 5
OM - Oman 5
UY - Uruguay 5
AL - Albania 4
AZ - Azerbaigian 4
CY - Cipro 4
KW - Kuwait 4
LK - Sri Lanka 4
MD - Moldavia 4
MK - Macedonia 4
PR - Porto Rico 4
PY - Paraguay 4
QA - Qatar 4
SI - Slovenia 4
SN - Senegal 4
BT - Bhutan 3
CI - Costa d'Avorio 3
DO - Repubblica Dominicana 3
Totale 20.698
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Città #
Southend 3.977
Singapore 810
Milan 565
Ashburn 452
Hong Kong 332
Fairfield 284
Council Bluffs 257
San Jose 254
Seattle 233
Frankfurt am Main 232
Wilmington 223
Chandler 221
Santa Clara 213
Ann Arbor 212
Beijing 198
Princeton 187
Dublin 159
Woodbridge 151
Houston 142
Dearborn 138
Los Angeles 129
Cambridge 123
Jakarta 120
Hefei 110
Phoenix 108
Ho Chi Minh City 100
Salerno 93
Bengaluru 92
Istanbul 92
Mountain View 91
Lauterbourg 89
Rome 84
Boardman 79
Bristol 79
New York 79
Nanjing 78
Moscow 77
Guangzhou 74
Jinan 73
Buffalo 72
Seoul 71
Des Moines 67
Dallas 66
Redwood City 66
Hanoi 64
Munich 59
The Dalles 58
Reading 57
Medford 56
Toronto 54
Tokyo 49
Ottawa 47
Redmond 41
Sofia 41
Berlin 40
Tianjin 39
Athens 36
Shenyang 34
London 31
Shanghai 30
Helsinki 29
Nanchang 29
Changsha 28
Hangzhou 27
Hebei 26
Cangzhou 24
Montreal 24
Central 23
Genoa 23
Naples 23
Sakarya 23
Cairo 22
Hanover 22
Mumbai 22
Shenzhen 22
Bogotá 21
Chicago 21
Eastleigh 21
Fremont 21
Zhengzhou 21
Jacksonville 20
Swansea 20
Bologna 18
San Diego 18
Taipei 18
Turin 18
Basingstoke 17
Jiaxing 17
Lappeenranta 17
Sandhurst 17
São Paulo 17
Andover 16
Bracknell 16
Somerville 16
Baltimore 15
Dong Ket 15
Eitensheim 15
Florence 15
Warsaw 15
Washington 15
Totale 12.895
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Nome #
An imputation method for mixed-type data using nonlinear principal component analysis 624
Enteral versus intravenous approach for the sedation of critically ill patients: a randomized and controlled trial 497
What makes for a good missing value imputation? New algorithmic approaches in PCA and random forests-based techniques 419
On bivariate copula-based geometric models with application to reliability 406
Yet another approximation for the total claims amount using the Weibull distribution 404
Generation of multivariate discrete data 381
Relationship between Kendall’s tau and Goodman and Kruskal’s gamma after ordinalizing a bivariate normal random variable 377
A sequential distance-based approach for imputing missing data : the forward imputation 352
Discrete analogues of bivariate continuous distributions 351
Generating ordinal data 307
Simulating correlated ordinal and discrete variables with assigned marginal distributions 303
A sequential distance-based approach for imputing missing data: Forward Imputation 299
Data Transformation for Confidence Interval Improvement : An Application to the Estimation of Stress-Strength Model Reliability 289
A bivariate count model with discrete Weibull margins 289
Algorithmic-type imputation techniques with different data structures : alternative approaches in comparison 271
Simulation of correlated Poisson variables 270
On Methods of Estimation for the Type II Discrete Weibull Distribution 269
A simulation comparison of imputation methods for quantitative data in the presence of multiple data patterns 269
Assessing how the dependence structure affects the reliability parameter of the strength-stress model 264
An R package for the simulation of correlated discrete variables 260
Inference on reliability of stress-strength models for poisson data 258
A comparison of methods for estimating parameters of the type I discrete Weibull distribution 254
Bootstrap algorithms for probability proportional to size sampling 249
Discrete Weibull regression for modeling football outcomes 248
A discretizing method for reliability computation in complex stress-strength models 244
An alternative discrete skew Laplace distribution 239
Algorithmic imputation techniques for missing data : performance comparisons and development perspectives 238
An imputation method for categorical variables with application to nonlinear principal component analysis 235
Properties and estimation of a bivariate geometric model with locally constant failure rates 234
Confidence intervals for reliability of stress-strength models in the normal case 232
Modeling Correlated Counts in Reliability Engineering 229
GenOrd: Simulation of ordinal and discrete variables with given correlation matrix and marginal distributions (v. 1.4.0) 226
SunterSampling : Sunter's sampling design 223
Interval estimators for reliability : the bivariate normal case 222
Parameter estimation for type 3 discrete weibull distribution : a comparative study 222
A Discrete Analogue of the Half-Logistic Distribution 222
Nonlinear Principal Component Analysis 219
A Comprehensive Simulation Study on the Forward Imputation 217
Simulating Ordinal Data 216
Handling Missing Data in Presence of Categorical Variables: a New Imputation Procedure 215
Bootstrap algorithms for variance estimation in πPS sampling 214
Nonlinear principal component analysis with missing data : a forward imputation approach 204
Properties and inferential issues of a bivariate version of the geometric distribution 204
Missing data handling in setting up indicators from categorical data 203
Calibrated πps bootstrap 200
Bootstrapping probability-proportional-to-size samples via calibrated empirical population 199
A bivariate geometric distribution allowing for positive or negative correlation 199
A proposal for modeling and simulating correlated discrete Weibull variables 198
Alternative count regression models for modeling football outcomes 191
Goodman and Kruskal's Gamma Coefficient for Ordinalized Bivariate Normal Distributions 191
Simulating Correlated Ordinal and Discrete Variables with Assigned Marginal Distributions 189
Generating and Comparing Multivariate Ordinal Variables by Means of Permutation Tests 187
A general discretization procedure for reliability computation in complex stress–strength models 185
Inducing a Target Association between Ordinal Variables by Using a Parametric Copula Family 185
Inducing a desired value of correlation between two point-scale variables : a two-step procedure using copulas 185
Parametric bootstrap for reliability assessment 184
Bootstrapping under Rao-Sampford probability proportional to Size sampling: computational aspects and application perspectives 183
GenForImp: The Forward Imputation : A Sequential Distance-Based Approach for Imputing Missing Data 182
Inducing a target association between ordinal variables by using a parametric copula family 182
Bootstrap algorithms for variance estimation in complex survey sampling 179
Approximation of Continuous Random Variables for the Evaluation of the Reliability Parameter of Complex Stress-Strength Models 176
Discrete approximations of continuous probability distributions obtained by minimizing Cramer-von Mises-type distances 175
Discrete analogues of continuous bivariate probability distributions 174
Inducing a desired value of correlation between two point-scale variables 171
Discrete analogues of continuous bivariate probability distributions 171
DiscreteLaplace: Discrete Laplace Distributions (versione 1.1.1) 170
Comparing interval estimators for reliability in a dependent set-up 165
Simulation of correlated discrete Weibull variables: a proposal and an implementation in the R environment 164
Approximation of continuous random variables for the evaluation of the reliability parameter of complex stress–strength models 161
DiscreteInverseWeibull: Discrete inverse Weibull distribution 159
Discrete Weibull variables linked by Farlie-Gumbel-Morgenstern copula 159
Discrete approximation of continuous distributions obtained by minimizing the weighted Cramer-von Mises distance 159
A discrete analogue of the half-logistic distribution based on the mimicking of the probability density function 158
DiscreteWeibull: Discrete Weibull Distributions (Type 1 and 3) 157
Goodman and Kruskal’s gamma coefficient for ordinalized bivariate distributions 157
Estimating a multivariate model with discrete Weibull margins 155
Approximation of Continuous Random Variables for Evaluating Reliability of Complex Stress-Strength Models 155
Discrete half-logistic distributions with applications in reliability and risk analysis 146
StressStrength: Computation and estimation of reliability of stress-strength models 145
Comparing approaches for approximating continuous random distributions with application in reliability engineering 138
Evaluating compound sums through Panjer’s formula and discretization of continuous random distributions 137
A bivariate geometric distribution with positive or negative correlation 135
A new discrete exponential distribution: properties and applications 129
Choosing among different discrete approximations of a continuous random variable 128
bivgeom 128
Gaussian quadrature for non-Gaussian distributions 127
Least-squares and minimum chi-square estimation in a discrete Weibull model 126
Maximal point‐polyserial correlation for non‐normal random distributions 125
Applied Mathematics, Modeling and Computer Simulation 124
Discretization of continuous probability distributions with application to the evaluation of aggregate risk 123
A Discrete Version of the Half-Logistic Distribution Based on the Mimicking of the Probability Density Function 119
Gaussian quadrature for non-Gaussian distributions 115
Modeling correlated ordinal data through Student's t copula 110
Minimizing distance between distribution functions: discrete counterparts to continuous random variables with applications in non-life insurance and stochastic reliability 108
Preface 105
Comparison of discretization approaches for the approximate evaluation of the distribution of the random sum of iid random variables 102
Distance-based optimal discretization of a continuous probability distribution 101
A new method for building a discrete analogue to a continuous random variable based on minimization of a distance between distribution functions 101
An Alternative Discrete Analogue of the Half-Logistic Distribution Based on Minimization of a Distance between Cumulative Distribution Functions 100
Discrete analogs of a bivariate Pareto distribution 100
Totale 20.945
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Categoria #
all - tutte 52.746
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 52.746
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021110 0 0 0 0 0 0 0 0 0 0 0 110
2021/20222.163 75 209 126 93 236 173 198 178 241 186 167 281
2022/20231.560 227 139 151 149 146 261 73 102 159 67 54 32
2023/20241.243 32 79 60 193 179 94 69 52 70 76 147 192
2024/20252.603 102 228 85 201 318 143 106 246 152 173 235 614
2025/20265.380 525 331 383 382 499 392 611 366 599 376 501 415
Totale 21.600