Details about Luca Scrucca

Access statistics for papers by Luca Scrucca.

Last updated 2025-02-19. Update your information in the RePEc Author Service.

Short-id: psc972

Working Papers

2006

1. Subset selection in dimension reduction methods
   Quaderni del Dipartimento di Economia, Finanza e Statistica, Università di Perugia, Dipartimento Economia

2005

2. Clustering multivariate spatial data based on local measures of spatial autocorrelation
   Quaderni del Dipartimento di Economia, Finanza e Statistica, Università di Perugia, Dipartimento Economia View citations (7)

Journal Articles

2023

1. Mixture-based estimation of entropy
   Computational Statistics & Data Analysis, 2023, 177, (C) View citations (1)

2022

2. A COVINDEX based on a GAM beta regression model with an application to the COVID-19 pandemic in Italy
   Statistical Methods & Applications, 2022, 31, (4), 881-900 View citations (1)
3. Management-control-system configurations in medium-sized mechanical-engineering firms: an exploratory analysis
   Accounting Research Journal, 2022, 35, (6), 834-853 View citations (2)

2021

4. Better than the best? Answers via model ensemble in density-based clustering
   Advances in Data Analysis and Classification, 2021, 15, (3), 599-623 View citations (2)

2019

5. Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap
   Computational Statistics, 2019, 34, (4), 1779-1813 View citations (8)

2018

6. Events and sustainable mobility: a model based on cluster analysis
   Economia della Cultura, 2018, (4), 509-520

2016

7. Identifying connected components in Gaussian finite mixture models for clustering
   Computational Statistics & Data Analysis, 2016, 93, (C), 5-17 View citations (7)

2015

8. Improved initialisation of model-based clustering using Gaussian hierarchical partitions
   Advances in Data Analysis and Classification, 2015, 9, (4), 447-460 View citations (7)

2014

9. Graphical tools for model-based mixture discriminant analysis
   Advances in Data Analysis and Classification, 2014, 8, (2), 147-165 View citations (6)

2013

10. Dimension reduction for model-based clustering via mixtures of multivariate $$t$$ t -distributions
    Advances in Data Analysis and Classification, 2013, 7, (3), 321-338 View citations (10)
11. GA: A Package for Genetic Algorithms in R
    Journal of Statistical Software, 2013, 053, (i04) View citations (53)
12. Measuring the Impact of a Profit-Oriented Event on Tourism: The Eurochocolate Festival in Perugia, Italy
    Tourism Economics, 2013, 19, (6), 1411-1428 View citations (4)

2011

13. Model-based SIR for dimension reduction
    Computational Statistics & Data Analysis, 2011, 55, (11), 3010-3026 View citations (5)

2007

14. Class prediction and gene selection for DNA microarrays using regularized sliced inverse regression
    Computational Statistics & Data Analysis, 2007, 52, (1), 438-451 View citations (8)

2002

15. Graphics for studying logistic regression models
    Statistical Methods & Applications, 2002, 11, (3), 371-394

2001

16. A review and computer code for assessing the structural dimension of a regression model: uncorrelated 2D views
    Computational Statistics & Data Analysis, 2001, 36, (2), 163-177
17. Nonparametric Kernel Smoothing Methods. The sm library in Xlisp-Stat
    Journal of Statistical Software, 2001, 006, (i07) View citations (1)

Chapters

2016

1. CSR Education in Italy: The Case of the University of Perugia
   Springer View citations (1)