CERIOLI, Andrea
 Distribuzione geografica
Continente #
EU - Europa 96
NA - Nord America 12
AS - Asia 6
AF - Africa 1
Totale 115
Nazione #
IT - Italia 80
US - Stati Uniti d'America 10
DE - Germania 5
CA - Canada 2
CZ - Repubblica Ceca 2
FR - Francia 2
IN - India 2
RS - Serbia 2
SE - Svezia 2
TR - Turchia 2
BE - Belgio 1
CH - Svizzera 1
FI - Finlandia 1
IQ - Iraq 1
NG - Nigeria 1
TW - Taiwan 1
Totale 115
Città #
Parma 33
Vicenza 23
Florence 6
Morro Bay 5
Milan 3
Beylikduzu 2
Kanpur 2
Kraljevo 2
Los Angeles 2
Malmo 2
Piacenza 2
Prague 2
Siena 2
Arsiero 1
Ashburn 1
Brussels 1
Castelnuovo Rangone 1
Edmonton 1
Fremont 1
Helsinki 1
Lugano 1
Mcallen 1
Montreuil-sous-Perouse 1
Najaf 1
Noves 1
Rome 1
Rovereto 1
Taglio Di Po 1
Taipei 1
Yola 1
Totale 103
Nome #
A combined test of the Benford hypothesis with anti-fraud applications, file e177fbc7-6b1b-50b0-e053-d805fe0adaee 27
Modelling international trade data with the Tweedie distribution for anti-fraud and policy support, file e177fbc4-9d08-50b0-e053-d805fe0adaee 14
Finding the Number of Normal Groups in Model-Based Clustering via Constrained Likelihoods, file e177fbc5-bd15-50b0-e053-d805fe0adaee 8
Analisi multivariate per la valutazione delle politiche di e-government nei Comuni dell'Emilia Romagna, file e177fbc4-1e72-50b0-e053-d805fe0adaee 6
Goodness-of-fit testing for the Newcomb-Benford law with application to the detection of customs fraud, file e177fbc5-4af3-50b0-e053-d805fe0adaee 5
Assessing trimming methodologies for clustering linear regression data, file e177fbc6-4204-50b0-e053-d805fe0adaee 5
Wild adaptive trimming for robust estimation and cluster analysis, file e177fbc6-4209-50b0-e053-d805fe0adaee 5
Who is afraid of the probability-savvy fraudster?, file 200e5b07-7a08-464b-885b-3517a167cdf2 4
Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library, file e177fbc4-9d92-50b0-e053-d805fe0adaee 4
Goodness-of-fit testing for the Newcomb-Benford law with application to the detection of customs fraud, file e177fbc5-7dc3-50b0-e053-d805fe0adaee 4
Rejoinder to the discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample”, file e177fbc6-3653-50b0-e053-d805fe0adaee 4
Newcomb-Benford law and the detection of frauds in international trade, file e177fbc6-566f-50b0-e053-d805fe0adaee 4
Covariance matrices of S robust regression estimators, file e177fbc7-481c-50b0-e053-d805fe0adaee 4
On characterizations and tests of Benford's law, file e177fbc7-4695-50b0-e053-d805fe0adaee 3
Goodness-of-fit testing for the Newcomb-Benford law with application to the detection of customs fraud, file e177fbc7-70bb-50b0-e053-d805fe0adaee 3
Multivariate Outlier Detection With High-Breakdown Estimators, file e177fbc4-1b3e-50b0-e053-d805fe0adaee 2
La mappa degli stili di acquisto. Un approccio alla segmentazione della clientela basato sui dati di carta fedeltà, file e177fbc4-22e2-50b0-e053-d805fe0adaee 2
A comparison of robust methods with small sample experimental data, file e177fbc4-2c7d-50b0-e053-d805fe0adaee 2
Monitoring robust regression, file e177fbc4-432f-50b0-e053-d805fe0adaee 2
Reliable Robust Regression Diagnostics, file e177fbc5-2ba4-50b0-e053-d805fe0adaee 2
The power of monitoring: How to make the most of a contaminated multivariate sample, file e177fbc5-b908-50b0-e053-d805fe0adaee 2
Efficient Robust Methods via Monitoring for Clustering and Multivariate Data Analysis, file e177fbc7-2030-50b0-e053-d805fe0adaee 2
Reliable Robust Regression Diagnostics, file e177fbc7-67b7-50b0-e053-d805fe0adaee 2
The Forward Search for Very Large Datasets, file e177fbc4-9d0a-50b0-e053-d805fe0adaee 1
Cluster Detection and Clustering with Random Start Forward Searches, file e177fbc5-7dc8-50b0-e053-d805fe0adaee 1
Forum on Benford’s law and statistical methods for the detection of frauds, file e177fbc7-481a-50b0-e053-d805fe0adaee 1
Totale 119
Categoria #
all - tutte 174
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 174


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2018/20195 0041 00 00 0000
2020/20212 0000 00 00 2000
2021/202259 0000 380 55 1091
2022/202338 00022 160 00 0000
Totale 119