IRIS Institutional Research Information System - OPENBS Open Archive UniBS

MANISERA, Marica
 Distribuzione geografica
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Continente #
NA - Nord America 5.116
EU - Europa 4.395
AS - Asia 3.315
SA - Sud America 754
Continente sconosciuto - Info sul continente non disponibili 261
AF - Africa 106
OC - Oceania 19
Totale 13.966
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Nazione #
US - Stati Uniti d'America 4.959
IT - Italia 2.335
CN - Cina 1.113
SG - Singapore 1.095
BR - Brasile 597
UA - Ucraina 575
HK - Hong Kong 373
DE - Germania 286
FR - Francia 214
VN - Vietnam 210
FI - Finlandia 171
GB - Regno Unito 159
PL - Polonia 125
TR - Turchia 119
RU - Federazione Russa 107
IE - Irlanda 102
NL - Olanda 91
BD - Bangladesh 90
CA - Canada 86
IN - India 83
EE - Estonia 71
AR - Argentina 66
ES - Italia 60
MX - Messico 35
PK - Pakistan 31
ZA - Sudafrica 31
JP - Giappone 30
ID - Indonesia 27
IQ - Iraq 26
NG - Nigeria 25
EC - Ecuador 24
BE - Belgio 18
MA - Marocco 18
SE - Svezia 18
EU - Europa 16
CO - Colombia 15
KR - Corea 15
SA - Arabia Saudita 15
TW - Taiwan 14
AU - Australia 12
PY - Paraguay 12
AT - Austria 11
CL - Cile 11
VE - Venezuela 11
AE - Emirati Arabi Uniti 9
PH - Filippine 9
CZ - Repubblica Ceca 8
PE - Perù 8
EG - Egitto 7
GR - Grecia 7
JM - Giamaica 7
NZ - Nuova Zelanda 7
CR - Costa Rica 6
HN - Honduras 6
JO - Giordania 6
MY - Malesia 6
UY - Uruguay 6
UZ - Uzbekistan 6
DZ - Algeria 5
IL - Israele 5
KE - Kenya 5
PT - Portogallo 5
TN - Tunisia 5
AL - Albania 4
BO - Bolivia 4
CH - Svizzera 4
ET - Etiopia 4
HR - Croazia 4
HU - Ungheria 4
KZ - Kazakistan 4
NP - Nepal 4
BB - Barbados 3
BS - Bahamas 3
KG - Kirghizistan 3
MO - Macao, regione amministrativa speciale della Cina 3
OM - Oman 3
PS - Palestinian Territory 3
RO - Romania 3
AZ - Azerbaigian 2
BA - Bosnia-Erzegovina 2
DO - Repubblica Dominicana 2
IR - Iran 2
LT - Lituania 2
LU - Lussemburgo 2
MU - Mauritius 2
SN - Senegal 2
SY - Repubblica araba siriana 2
TH - Thailandia 2
TT - Trinidad e Tobago 2
XK - ???statistics.table.value.countryCode.XK??? 2
AG - Antigua e Barbuda 1
AO - Angola 1
BG - Bulgaria 1
DK - Danimarca 1
DM - Dominica 1
GE - Georgia 1
GP - Guadalupe 1
KW - Kuwait 1
LA - Repubblica Popolare Democratica del Laos 1
LB - Libano 1
Totale 13.712
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Città #
Singapore 547
Jacksonville 406
Ann Arbor 351
Ashburn 348
Hong Kong 342
Fairfield 337
Woodbridge 331
Beijing 241
Milan 240
Houston 236
Rome 211
Princeton 186
The Dalles 176
San Jose 163
Chandler 155
Wilmington 153
Salerno 147
Brescia 138
Cambridge 125
Nanjing 124
Warsaw 118
Seattle 112
New York 109
Dublin 100
Helsinki 99
Dearborn 98
Lauterbourg 95
Bologna 89
Istanbul 88
Los Angeles 88
Columbus 83
Ho Chi Minh City 70
Tallinn 69
Council Bluffs 60
Dallas 60
Nanchang 60
Des Moines 59
Buffalo 55
Moscow 53
Naples 50
São Paulo 48
Turin 45
Orem 44
Shenyang 43
Hanoi 41
Florence 37
Chicago 35
Tianjin 34
Hebei 33
San Francisco 33
Santa Clara 32
Munich 31
San Diego 29
Tokyo 29
Padova 27
Redondo Beach 27
Brooklyn 23
Changsha 23
Trento 22
Vicenza 22
Abuja 21
Palermo 21
Verona 21
Groningen 20
Chennai 19
Jiaxing 19
Shanghai 19
Zhengzhou 19
Bari 18
Jinan 18
Venice 18
Afragola 17
Atlanta 17
Aversa 17
Belo Horizonte 17
Frankfurt am Main 17
Genoa 17
Hangzhou 17
Johannesburg 17
Kunming 17
London 16
Montreal 16
Amsterdam 15
Denver 15
Brussels 14
Manchester 14
Rio de Janeiro 14
Perugia 13
Poplar 13
Reggio Emilia 13
Toronto 13
Haiphong 12
Hefei 12
Trieste 12
Ancona 11
Bolzano 11
Casorezzo 11
Catania 11
Guayaquil 11
Lonigo 11
Totale 7.854
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Nome #
Basketball Data Science: Basketball Analytics a portata di mano 887
Un’analisi delle relazioni tra equità, motivazione e soddisfazione per il lavoro 379
"P" come Piacere 291
Nell’era dei Big Data gli statistici contano… anche nello sport 221
Modelling the dynamic pattern of surface area in basketball and its effects on team performance 209
Big data analytics to model scoring probability in basketball: the effect of shooting under high-pressure conditions 196
Assessing Stability in NonLinear PCA with Hierarchical Data 175
Clustering ranking data in market segmentation: a case study on the Italian McDonald's customers’ preferences 169
Statistics in Sports 168
Basketball spatial performance indicators 167
Alley‐oop! Basketball analytics in R 165
A graphical tool to compare groups of subjects on categorical variables 164
On Pinto da Costa & Soares’ and other Weighted Rank Correlation Measures deriving from the Spearman’s rho 163
Guest Editorial ‘Statistical Modelling for Sports Analytics’ 163
Sensory analysis in the food industry as a tool for marketing decisions 160
Modeling “don't know” responses in rating scales 160
Assessing Stability in Nonlinear PCA with Hierarchical Data 155
Sensor Analytics in Basketball 150
On the nonlinearity of homogeneous ordinal variables 148
Guest Editorial ‘Statistical Modelling for Sports Analytics’ 147
Identifying the component structure of satisfaction scales by Nonlinear Principal Components Analysis 145
On the nonlinearity of homogeneous ordinal variables 145
Analyzing ordinal data to measure customer satisfaction: a comparison between the Rasch Model and CatPCA 144
Space-Time Analysis of Movements in Basketball using Sensor Data 144
Analysing ordinal data to measure customer satisfaction: a comparison between the Rasch Model and CatPCA 143
A statistical analysis on sensory data: the Italian espresso case study 142
Estimation of Nonlinear CUB models via numerical optimization and EM algorithm 142
Evaluation of term-weighting measures for grouped text documents with a target variable: a simulation study 138
Un’analisi esplorativa della qualità del lavoro nelle cooperative sociali 138
On the Imputation of Missing Data in Surveys with Likert-Type Scales 138
On the imputation of missing data in surveys with Likert-type scales 137
Modeling rating data with Nonlinear CUB models 135
Identifiability of a model for discrete frequency distributions with a multidimensional parameter space 135
A SURVIVAL ANALYSIS STUDY TO DISCOVER WHICH SKILLS DETERMINE A HIGHER SCORING IN BASKETBALL 134
Categorical Principal Component Analysis to identify the component structure of alexithymia 133
On two classes of Weighted Rank Correlation measures deriving from the Spearman’s rho 133
A Mixture Model for the Analysis of Categorical Variables Measured on Five-point Semantic Differential Scales 132
Assessing item contribution on unobservable variables’ measures with hierarchical data 131
Weighted Rank Correlation measures in Hierarchical Cluster Analysis 130
Treatment of “don’t know” responses in the consumers’ perceptions about sustainability in the agri-food sector 129
Interpreting clusters and their Bipolar Means: a case study 126
A graphical tool for comparing groups on categorical variables 124
A nonlinear least squares solution of a minimax estimation problem for stationary time series 121
BasketballAnalyzeR: an R package for basketball analytics 120
Analyzing and modelling rating data for sensory analysis in food industry 118
Multilevel algorithmic models to measures item importance on latent variables’ indicators 118
Discussion of “The class of cub models: statistical foundations, inferential issues and empirical evidence” by Domenico Piccolo and Rosaria Simone 118
Basketball Data Science 118
A mixture model for rating data: the Nonlinear CUB 117
The alexithymia construct: a reading based on Categorical Principal Component Analysis 116
Component structure of job satisfaction based on Herzberg's theory 115
Weighting the Spearman’s Rank Correlation Index 114
Visualizing Multiple Results from Nonlinear CUB Models with R Grid Viewports 114
Stime minimax per serie storiche stazionarie 113
Analisi dei criteri per la valutazione della ricerca individuale in ambito statistico, Relazione finale della Commissione SIS Riforma dei criteri condivisi per la valutazione della ricerca e revisione delle equivalenze dei titoli accademici europei ed internazionali da applicare alle “chiamate dirette”, available at http://sis-statistica.it/files/pdf/2010/relazione_finalecommissione_valutazione.pdf (retrieved April, 2011) 112
Nonlinear CUB models: some stylized facts 112
Treatment of 'don't know' responses in rating data: effects on the heterogeneity of the CUB distribution 112
Ordinal data models for no-opinion responses in attitude surveys 112
Spatial Performance Indicators and Graphs in Basketball 111
Basket: misurare la performance sotto pressione 111
Constructing indicators of unobservable variables from parallel measurements 110
Analyzing Basketball Data with BasketballAnalyzeR 109
Nonlinear CUB models: the R code 109
Markov switching modelling of shooting performance variability and teammate interactions in basketball 108
Models for categorical data: a comparison between the Rasch model and nonlinear principal component analysis. 106
Scoring ordinal variables for constructing composite indicators 105
Basketball analytics using spatial tracking data 105
Minimax estimates for stationary time series 104
CUB models for sensory analysis in food industry 104
Treatment of ‘don’t know’ responses in a mixture model for rating data 103
A mixture model for ordinal variables measured on semantic differential scales 103
Integration of model-based recursive partitioning with bias reduction estimation: a case study assessing the impact of Oliver’s four factors on the probability of winning a basketball game 102
On some weighted rank correlation measures related to the Spearman’s rho 102
Robust estimation for stationary ARMA time series 99
On the equivalence of two mixture models for rating data 98
Which achievements are associated with a better offensive performance in NBA? A survival analysis study 98
Sulla scelta dello scaling level nell’Analisi delle Componenti Principali Nonlineare 97
Group-specific document embeddings: an application to user-generated content 96
Finding number of groups using a penalized internal cluster quality index 96
Scoring ordinal variables for constructing composite indicators 95
Il profilo socio-demografico dei lavoratori 95
Advances in basketball statistics 94
Scale Construction for Job Satisfaction by Categorical Principal Component Analysis 93
L’Analisi delle Componenti Principali Nonlineare per la misurazione della qualità del lavoro 91
Modelling perceived variety in a choice process with nonlinear CUB 90
Book of short papers, IES 2025 - Innovation & Society: Statistics and Data Science for Evaluation and Quality 89
Minimax estimation based on a L1-metric loss function for stationary time series 89
New perspectives on rating data modelling: the Nonlinear CUB 88
Scoring probability maps in the basketball court with Indicator Kriging estimation 87
Exploring the quality of work in social cooperatives by a graphical tool 86
How perceived variety impacts on choice satisfaction: a two-step approach using the CUB class of models and best-subset variable selection 84
Measuring Nonlinearity in Data Analysis 82
Motivazioni, atteggiamenti ed incentivi non economici del lavoro nelle cooperative sociali 82
Measuring job satisfaction by means of Nonlinear Principal Component Analysis 82
Sport Analytics: la statistica divertente 82
Tecniche di scaling per la costruzione di indicatri della qualità del lavoro nel settore dei servizi sociali 77
Nonlinear CUB models 77
A New Approach to Basketball Game Predictions by Simulating Games Based on the Predicted Numbers and Types of Plays 75
Il vino di qualità costa di più? Un’analisi per comprendere se e quanto la qualità del vino incida sul prezzo di mercato dei vini rossi italiani 74
La statistica fa canestro 73
Totale 13.246
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Categoria #
all - tutte 58.128
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 58.128
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/2022679 0 121 21 45 7 22 32 51 40 99 62 179
2022/2023703 106 14 29 48 61 150 11 45 128 29 39 43
2023/20241.182 79 30 114 120 52 112 74 90 238 62 41 170
2024/20252.423 65 41 51 372 207 200 215 105 319 133 458 257
2025/20264.059 349 541 331 682 479 188 512 177 269 278 166 87
2026/2027316 233 83 0 0 0 0 0 0 0 0 0 0
Totale 13.966