| Nome |
# |
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A PARAFAC-ALS variant for fitting large datasets, file dfd1bedd-5c7b-d55a-e053-3705fe0af723
|
367
|
|
GLAM ORGANIZATIONS’ DIGITAL MATURITY INDICATOR: A STATISTICAL APPROACH FOR CAMPANIA MUSEUMS, file dfd1bedd-5c76-d55a-e053-3705fe0af723
|
269
|
|
Life after the storm: the effect of L’Aquila earthquake on marriage rates, file dfd1bedd-5c13-d55a-e053-3705fe0af723
|
194
|
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Analisi statistica multivariata per la valutazione della patient satisfaction, file dfd1bedc-aa2e-d55a-e053-3705fe0af723
|
158
|
|
Measuring passenger satisfaction: a strategy based on Rasch Analysis and the ANOM, file dfd1bedc-f91b-d55a-e053-3705fe0af723
|
107
|
|
Customer satisfaction: aspetti statistici e recenti sviluppi, file dfd1bedc-ab72-d55a-e053-3705fe0af723
|
84
|
|
CP model estimation with incorrect rank of factorization on large data sets, file dfd1bedd-5c11-d55a-e053-3705fe0af723
|
84
|
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Dealing with outliers in high dimensional data: a COMALS procedure, file dfd1bedd-5c73-d55a-e053-3705fe0af723
|
78
|
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Robust Tools for Three-way Component Analysis of Compositional Data: The R package rrcov3way, file 2d877d19-961a-4d19-8324-2138672df54c
|
76
|
|
Simple component analysis based on RV coefficient, file dfd1bedc-b0d0-d55a-e053-3705fe0af723
|
76
|
|
A robust dispersion control chart based on modified trimmed standard deviation, file dfd1bedc-f820-d55a-e053-3705fe0af723
|
67
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|
Weighted principal component analysis for compositional data: application example for the water chemistry of the Arno river (Tuscany, central Italy), file dfd1bedc-b1c2-d55a-e053-3705fe0af723
|
57
|
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Multivariate statistical approaches for the customer satisfaction into transportation sector, file dfd1bedc-f5fe-d55a-e053-3705fe0af723
|
52
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|
Alcune considerazioni sull’analisi multidimensionale dei dati nella valutazione dei servizi di day surgery, file dfd1bedc-b1ab-d55a-e053-3705fe0af723
|
49
|
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The evaluation of passenger satisfaction in the local public transport: a strategy for data analysis, file dfd1bedc-fc91-d55a-e053-3705fe0af723
|
48
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|
Three–way compositional data: a multi–stage trilinear decomposition algorithm, file dfd1bedd-20a1-d55a-e053-3705fe0af723
|
45
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|
A comparing among the different approaches for DIF analysis, file dfd1bedc-f75c-d55a-e053-3705fe0af723
|
36
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Detection of Outlying Cells in Contingency Tables Using Model Based Diagnostics, file dfd1bedd-7ea0-d55a-e053-3705fe0af723
|
35
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The scaling problems in service quality evaluation, file dfd1bedc-ef12-d55a-e053-3705fe0af723
|
33
|
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Monitoring Industrial Process using a Robust Modified Mean Chart, file dfd1bedd-421b-d55a-e053-3705fe0af723
|
29
|
|
A bayesian analysis of multiple changes in the variance of first
- order autoregressive time series models, file dfd1bedc-ad73-d55a-e053-3705fe0af723
|
27
|
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Tri-PLS for compositional data, file dfd1bedc-b45e-d55a-e053-3705fe0af723
|
26
|
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A Robust Tucker3 Model for Compositional Data, file dfd1bedc-b45c-d55a-e053-3705fe0af723
|
22
|
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A novel estimation procedure for robust CP model fitting, file 9fdace48-aa93-4840-ac4d-18849d2741df
|
21
|
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CoDa in three-way arrays and relative samples spaces, file dfd1bedc-b25c-d55a-e053-3705fe0af723
|
21
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Book of Abstracts Data Science, Statistics & Visualisation 2017, file dfd1bedd-24c5-d55a-e053-3705fe0af723
|
20
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Linguistic complexity and engagement in social media communication for cultural heritage, file 6e296e2f-7e2d-4319-a52b-4aefb474d963
|
18
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Constraints Principal Component Analysis (CPCA) and Multivariate Co-Inertia Analysis for Categorical Data, file dfd1bedc-abf3-d55a-e053-3705fe0af723
|
18
|
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Dimensionality reduction methods, file dfd1bedc-ab37-d55a-e053-3705fe0af723
|
17
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A procedure for the three-mode analysis of compositions, file dfd1bedc-b28c-d55a-e053-3705fe0af723
|
17
|
|
The Rasch Model for Evaluating Italian Student Performance, file dfd1bedc-f97d-d55a-e053-3705fe0af723
|
15
|
|
New family of time series models and its bayesian analysis, file dfd1bedd-4010-d55a-e053-3705fe0af723
|
14
|
|
Bayesian analysis of change point problem in autoregressive model: a mixture model approach, file dfd1bedc-fc93-d55a-e053-3705fe0af723
|
13
|
|
N-way partial least squares
for compositional data, file dfd1bedc-f23c-d55a-e053-3705fe0af723
|
12
|
|
Discriminant Partial Least Square on Compositional Data: a Comparison with the Log-Contrast Principal Component Analysis, file dfd1bedc-ac83-d55a-e053-3705fe0af723
|
11
|
|
Digital transformation of cultural institutions: a statistical analysis of Italian and Campania GLAMs, file dfd1bedd-54b3-d55a-e053-3705fe0af723
|
11
|
|
Joint Biplots for CoDa, file dfd1bedc-b45b-d55a-e053-3705fe0af723
|
9
|
|
An Application of Transformed Distribution: Length of Stay in Hospitals, file dfd1bedd-644e-d55a-e053-3705fe0af723
|
9
|
|
On four-way CP model estimation efficiency, file 988b4235-ecd8-44bf-9f54-e80b43aa1627
|
8
|
|
PARTIAL LEAST SQUARES FOR COMPOSITIONAL CANONICAL CORRELATION, file dfd1bedd-6445-d55a-e053-3705fe0af723
|
6
|
|
La trasformazione digitale delle istituzioni culturali; un'analisi statistica dei GLAM italiani e campani, file 50ceb24a-c2f5-4177-9e69-a469a48cf326
|
5
|
|
Log-ratio and parallel factor analysis: an approach to analyze three-way compositional data, file dfd1bedc-b283-d55a-e053-3705fe0af723
|
5
|
|
Tucker3 model for compositional data, file dfd1bedc-cbef-d55a-e053-3705fe0af723
|
5
|
|
How to improve the Quality Assurance System of the Universities: a study based on compositional analysis, file dfd1bedd-4b84-d55a-e053-3705fe0af723
|
5
|
|
Robust distance measure to detect outliers for categorical data, file dfd1bedd-6434-d55a-e053-3705fe0af723
|
5
|
|
Three-way compositional analysis of water quality monitoring data, file dfd1bedc-b1e5-d55a-e053-3705fe0af723
|
3
|
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Objective measurements of student satisfaction by comparing the effects of different factors, file dfd1bedc-b5cd-d55a-e053-3705fe0af723
|
3
|
|
Statistical tools for student evaluation of academic educational quality, file dfd1bedc-efae-d55a-e053-3705fe0af723
|
3
|
|
L’opinione degli studenti sulla didattica erogata:
l’esperienza de L’Orientale, file dfd1bedc-f536-d55a-e053-3705fe0af723
|
3
|
|
Coherent Modeling and Forecasting of Mortality Patterns for Subpopulations Using Multiway Analysis of Compositions: An Application to Canadian Provinces and Territories, file dfd1bedd-1ec3-d55a-e053-3705fe0af723
|
3
|
|
Detecting public social spending patterns in Italy using a three-way relative variation approach, file dfd1bedd-3d57-d55a-e053-3705fe0af723
|
3
|
|
An ATLD–ALS method for the trilinear decomposition of large third-order tensors, file dfd1bedd-63b8-d55a-e053-3705fe0af723
|
3
|
|
Three is a Magic Number: Evidence on the Effects of the Application of the Three-Point Rule in Italy’s Serie A, file dfd1bedd-9d42-d55a-e053-3705fe0af723
|
3
|
|
CP decomposition of 4th-order tensors of compositions, file 9c01329c-35af-49d4-97e6-7e8f288ce1a6
|
2
|
|
Bayesian Prediction of canadian lynx data using FRAR model, file dfd1bedc-aa0b-d55a-e053-3705fe0af723
|
2
|
|
Three-mode Analysis of Compositional Data: Some Graphical Displays, file dfd1bedc-afb0-d55a-e053-3705fe0af723
|
2
|
|
Three-way decomposition of weighted log-odds ratio for customer satisfaction analysis, file dfd1bedc-b4c5-d55a-e053-3705fe0af723
|
2
|
|
Three-way decomposition of weighted log-odds ratio for customer satisfaction analysis, file dfd1bedc-b5cc-d55a-e053-3705fe0af723
|
2
|
|
Sparse PCA and investigation of multi-elements compositional repositories: theory and applications, file dfd1bedc-ef8b-d55a-e053-3705fe0af723
|
2
|
|
Discriminant Partial Least Squares analysis on compositional data, file dfd1bedc-f390-d55a-e053-3705fe0af723
|
2
|
|
Uno studio sui livelli di competenza in matematica: analisi delle differenze tra gli studenti italiani e campani, file dfd1bedc-f9bf-d55a-e053-3705fe0af723
|
2
|
|
A robust Parafac model for compositional data, file dfd1bedd-20de-d55a-e053-3705fe0af723
|
2
|
|
Performance improvement of dispersion charts by trimming and winsorization, file dfd1bedd-421d-d55a-e053-3705fe0af723
|
2
|
|
An integrated algorithm for three-way compositional data, file dfd1bedd-4342-d55a-e053-3705fe0af723
|
2
|
|
External information model in a compositional perspective: evaluation of Campania adolescents' preferences in the allocation of leisure-time, file dfd1bedd-4cba-d55a-e053-3705fe0af723
|
2
|
|
Performance Comparison of Heterogeneity Measures for Count Data Models in Bayesian Perspective, file dfd1bedd-644c-d55a-e053-3705fe0af723
|
2
|
|
Improving PARAFAC-ALS estimates with a double optimization procedure, file dfd1bedd-6c66-d55a-e053-3705fe0af723
|
2
|
|
Innovation in Management: towards the Open Manager, file 5eadb51e-f36e-4406-a732-7c0a4d2e9903
|
1
|
|
La Patient Satisfaction nel sistema sanitario Lombardo: alcuni aspetti metodologici, file dfd1bedc-ab82-d55a-e053-3705fe0af723
|
1
|
|
Log-ratio and parallel factor analysis: an approach to analyze three-way compositional data, file dfd1bedc-b284-d55a-e053-3705fe0af723
|
1
|
|
Design of double sampling rectifying OQ plans, file dfd1bedc-ef74-d55a-e053-3705fe0af723
|
1
|
|
A three-way analysis for compositional data: insights on Arno river (Tuscany, central Italy) water chemistry, file dfd1bedc-f38c-d55a-e053-3705fe0af723
|
1
|
|
Customer satisfaction and compositional biplots, file dfd1bedc-f52e-d55a-e053-3705fe0af723
|
1
|
|
Partial ridge regression under multicollinearity, file dfd1bedc-f532-d55a-e053-3705fe0af723
|
1
|
|
Nonlinear constrained principal component analysis in the quality control framework, file dfd1bedc-f55f-d55a-e053-3705fe0af723
|
1
|
|
Sparse PCA for compositional data, file dfd1bedc-f562-d55a-e053-3705fe0af723
|
1
|
|
BAYESIAN INFERENCE TO MULTIPLE CHANGES IN THE VARIANCE OF AR(p) TIME SERIES MODEL, file dfd1bedc-f914-d55a-e053-3705fe0af723
|
1
|
|
Robust control charts based on modified trimmed standard deviation and Gini's mean difference, file dfd1bedc-f982-d55a-e053-3705fe0af723
|
1
|
|
A co-median approach to detect compositional outliers, file dfd1bedc-f9f9-d55a-e053-3705fe0af723
|
1
|
|
Remodelling Canadian Lynx Data, file dfd1bedc-fc95-d55a-e053-3705fe0af723
|
1
|
|
Partial Least Squares for Compositional Data: an approach based on the splines, file dfd1bedc-fc98-d55a-e053-3705fe0af723
|
1
|
|
Robust multiway analysis of compositional data in R, file dfd1bedc-fca1-d55a-e053-3705fe0af723
|
1
|
|
Robust approaches for three-way compositional data, file dfd1bedd-3dfa-d55a-e053-3705fe0af723
|
1
|
|
Direct Individual Differences Scaling for Evaluation of Research Quality, file dfd1bedd-4f96-d55a-e053-3705fe0af723
|
1
|
|
A PLS method for seeking canonical correlations in case of perfect multicollinearity, file dfd1bedd-63d5-d55a-e053-3705fe0af723
|
1
|
| Totale |
2.354 |