受强制性开放获取政策约束的文章 - Andrea Cerioli了解详情
可在其他位置公开访问的文章：21 篇
The power of monitoring: how to make the most of a contaminated multivariate sample
A Cerioli, M Riani, AC Atkinson, A Corbellini
Statistical Methods & Applications 27, 559-587, 2018
强制性开放获取政策： European Commission
Monitoring robust regression
M Riani, A Cerioli, AC Atkinson, D Perrotta
强制性开放获取政策： Government of Italy
Goodness-of-fit testing for the Newcomb-Benford law with application to the detection of customs fraud
L Barabesi, A Cerasa, A Cerioli, D Perrotta
Journal of Business & Economic Statistics 36 (2), 346-358, 2018
强制性开放获取政策： Government of Italy
Strong consistency and robustness of the forward search estimator of multivariate location and scatter
A Cerioli, A Farcomeni, M Riani
Journal of Multivariate Analysis 126, 167-183, 2014
强制性开放获取政策： Government of Italy
Finding the number of normal groups in model-based clustering via constrained likelihoods
A Cerioli, LA García-Escudero, A Mayo-Iscar, M Riani
Journal of Computational and Graphical Statistics 27 (2), 404-416, 2018
强制性开放获取政策： Government of Spain
Wild adaptive trimming for robust estimation and cluster analysis
A Cerioli, A Farcomeni, M Riani
Scandinavian Journal of Statistics 46 (1), 235-256, 2019
强制性开放获取政策： European Commission
On consistency factors and efficiency of robust S-estimators
M Riani, A Cerioli, F Torti
Test 23, 356-387, 2014
强制性开放获取政策： Government of Italy
Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library
M Riani, A Cerioli, D Perrotta, F Torti
Advances in Data Analysis and Classification 9 (4), 461-481, 2015
强制性开放获取政策： Government of Italy
Robust distances for outlier-free goodness-of-fit testing
A Cerioli, A Farcomeni, M Riani
Computational Statistics & Data Analysis 65, 29-45, 2013
强制性开放获取政策： Government of Italy
Modeling international trade data with the Tweedie distribution for anti-fraud and policy support
L Barabesi, A Cerasa, D Perrotta, A Cerioli
European Journal of Operational Research 248 (3), 1031-1043, 2016
强制性开放获取政策： Government of Italy
The forward search for very large datasets
M Riani, D Perrotta, A Cerioli
Journal of Statistical Software 67, 1-20, 2015
强制性开放获取政策： Government of Italy
Assessing trimming methodologies for clustering linear regression data
F Torti, D Perrotta, M Riani, A Cerioli
Advances in Data Analysis and Classification 13 (1), 227-257, 2019
强制性开放获取政策： European Commission
Reliable robust regression diagnostics
S Salini, A Cerioli, F Laurini, M Riani
International Statistical Review 84 (1), 99-127, 2016
强制性开放获取政策： Government of Italy
A new family of tempered distributions
L Barabesi, A Cerasa, A Cerioli, D Perrotta
强制性开放获取政策： European Commission
Efficient robust methods via monitoring for clustering and multivariate data analysis
M Riani, AC Atkinson, A Cerioli, A Corbellini
Pattern Recognition 88, 246-260, 2019
强制性开放获取政策： European Commission
Forum on Benford’s law and statistical methods for the detection of frauds
L Barabesi, A Cerioli, D Perrotta
Statistical Methods & Applications 30, 767-778, 2021
强制性开放获取政策： European Commission
Rejoinder to the discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample”
A Cerioli, M Riani, AC Atkinson, A Corbellini
Statistical Methods & Applications 27, 661-666, 2018
强制性开放获取政策： European Commission
How to marry robustness and applied statistics
A Cerioli, AC Atkinson, M Riani
Topics on methodological and applied statistical inference, 51-64, 2016
强制性开放获取政策： Government of Italy
Finding the number of disparate clusters with background contamination
AC Atkinson, A Cerioli, G Morelli, M Riani
Data science, learning by latent structures, and knowledge discovery, 29-42, 2015
强制性开放获取政策： Government of Italy
Finding the number of groups in model-based clustering via constrained likelihoods
A Cerioli, LÁ García Escudero, A Mayo Iscar, M Riani
强制性开放获取政策： Government of Spain
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